2025年の第2四半期シリコンバレーで皆様をお迎えできることを嬉しく思います！

It has been credibly hypothesized, but not proven, that quantum computers will have a transformative impact on a variety of scientific and technical disciplines. DARPA’s Quantum Benchmarking Initiative (QBI) is designed to rigorously verify and validate whether any quantum computing approach can achieve utility-scale operation — meaning its computational value exceeds its cost — by the year 2033. This talk will provide an overview of QBI, including DARPA’s approach to evaluating utility-scale quantum computer concepts and designs.

This talk will discuss promising pathways and critical obstacles on the road to developing useful quantum computing applications. We propose a five-stage framework for this process, spanning from theoretical explorations of quantum advantage to the practicalities of compilation and resource estimation. For each stage, we discuss key trends, milestones, and inherent scientific and sociological impediments. We argue that two central stages—identifying concrete problem instances expected to exhibit quantum advantage, and connecting such instances to real-world use cases—represent essential and currently under-resourced challenges.

At 55 North, we are pioneering a new era in quantum technology investment, focusing on transformative startups poised to redefine the boundaries of quantum computation, sensing, networking, adjacent technologies, and scientific discovery. This keynote will introduce 55 North’s vision, philosophy, and early portfolio highlights, offering insight into the leadership and long-term strategies driving innovation across the quantum ecosystem. Join us for a look at how 55 North bridges deep scientific expertise and global venture capital to accelerate the future of next-generation technologies.

Quemix will present a breakthrough quantum computing use case that tackles real-world Computer-Aided Engineering (CAE) challenges, validated at a practical level through joint research with Sumitomo Rubber Industries. This session will introduce a novel Fourier space readout method that removes the long-standing measurement bottleneck in quantum CAE and enables exponential speedups for large-scale simulations. Through this collaboration, the team successfully reconstructed complex flow fields and achieved the world's first full quantum simulation—including readout—of nonlinear differential equations such as the 2D Burgers equation. Together, these world-first achievements establish a practical, industry-validated pathway toward quantum-accelerated CAE, reinforcing Quemix’s goal of achieving quantum supremacy by 2030.

Quantum technologies are advancing rapidly, but their true value will only be realized through scalable, real-world applications. This panel brings together leaders from​ industry to examine the evolving landscape of quantum computing, communication, and​ sensing and their transformative potential across sectors. By focusing on the interplay​ between hardware, software, and hybrid quantum–classical systems, as well as the role​ of public–private partnerships, attendees will gain a strategic view of how quantum​ technologies are moving from proof of concept to practical deployment—and what it will​ take to unlock their projected multi-trillion-dollar economic impact by the next decade.

We will discuss aspects of Fermi-Hubbard simulation on quantum supercomputers hosting millions of physical qubits. Using a tightly integrated HPC-QC framework, we will estimate the quantum-classical resources necessary to simulate the physics of superconductivity.

Leading companies recognize the importance of having a strong quantum strategy, but running a strategic quantum initiative ahead of the availability of large-scale, fault-tolerant quantum computers can be a challenge. In this session, we'll focus on an approach that leverages a combination of state of the art quantum simulation and NISQ era quantum computers to inform a comprehensive quantum strategy.

As quantum computing moves from theory toward practical utility, the quantum research team at Dell Technologies is actively researching how to integrate quantum systems into high-performance computing (HPC) environments. Our team is developing flexible software infrastructures, hybrid orchestration frameworks, and benchmarking prototypes to enable seamless quantum-classical workflows. We will share insights from our work on quantum resource allocation engines, low-latency co-location strategies, and middleware for workload distribution. This talk will highlight the technical challenges—such as error correction, interconnect latency, and scheduling—and the solutions we are building to prepare for utility-scale quantum computing. Attendees will gain a view into Dell’s research roadmap for pairing leadership-class HPC with emerging quantum hardware to accelerate scientific and enterprise workloads.

The quantum future is rapidly becoming reality, with industry leaders anticipating Quantum Advantage within the next few years, and industry value much sooner. Q-CTRL collaborated with Network Rail and the UK Department for Transport to develop a quantum-enhanced rail scheduling solver powered by Fire Opal. By applying advanced error suppression and optimization workflows on real IBM quantum hardware, the team achieved a sixfold increase in solvable problem size and accelerated the timeline to practical quantum advantage by up to three years—now projected for 2028. This milestone marks a major step toward realizing quantum computing’s real-world impact in large-scale infrastructure and transport optimization.

Olivier Ezratty will look at the prospects of the energy consumption of FTQC quantum computers based on vendor roadmaps across multiple qubit modalities. He will refine the definition of an energetic quantum advantage, introducing the notion of energy acceptability for large scale FTQC QPUs. He will introduce a multi-tier FTQC energetic and power optimization framework using a mix of reductionist and holistic approaches covering classical computing, classical control, and quantum physics. He will also show how utility-grade algorithms resource and computing time estimates bring new questions on the energetic and power costs of quantum computing.

We formulate fixed–backbone computational protein design (CPD) as a quadratic Hamiltonian over rotamer variables and benchmark Quantum Computing Inc.’s Dirac-3 entropy-based optimizer against optimal solutions from an exact classical method. Overall, Dirac-3 exhibits gentle runtime scaling and robust performance, indicating practical promise for large CPD instances where exact classical methods become time-prohibitive.

Latest snapshot of Supercomputing/HPC as the ideal market, and the 1st stop, for Quantum Computing.

In a landmark demonstration using its Tiqker optical atomic clock and the Quantum Corridor fiber network, Infleqtion synchronized two data centers to within mere picoseconds (trillionths of a second) across 12 miles of rugged Chicago-land cityscape, showcasing quantum-enabled timing with immediate real-world implications. Data centers can now coordinate workloads with unprecedented precision, reducing latency and ensuring consistent timestamps across distributed systems. Financial markets benefit from trades timestamped in perfect lockstep across global exchanges, bolstering fairness and regulatory compliance. Telecommunications networks synchronized at this level will see lower latency and more efficient bandwidth usage. Infleqtion's onsite hardware clocks also reduce reliance on vulnerable GPS signals, making the critical data infrastructure more resilient to space weather (solar flares), changes in atmospheric conditions and electromagnetic interference

Building on last year’s 28.5× circuit-depth reduction achieved in collaboration with GSK, IBM, and Haiqu, we introduce additional methodological advances. These include more aggressive yet accuracy-controlled Hamiltonian truncation, an extra tensor-networks based entanglement-guided compression, error-aware operator grouping, and refined transpilation heuristics that jointly minimize two-qubit gates, circuit depth, and qubit routing overhead. Combined with noise-tailoring and mitigation, these improvements further shrink circuit depth and gate count for Hamiltonian-dynamics electronic-structure simulations of sulfonyl-fluoride drug candidates while preserving dynamical fidelity against classical references. We demonstrate an improvement in the problem size that we are able to handle, provide error and resource-scaling analyses, and show how the workflow delivers actionable reactivity insights for lead optimization in pharmaceutical development.

The use of randomness is ubiquitous in our society, including jury pool selection, leader election in proof-of-stake-blockchain protocols, and many other activities. However, in many applications, there is an incentive for malicious actors to influence or predict the randomness. Therefore, it is beneficial if the trustworthiness, unpredictability, and security of the randomness can be certified by any participant that does not trust the randomness provider. I will present results on realizing certified randomness amplification across a network by dynamically probing large, entangled quantum states on Quantinuum’s 98-qubit Helios trapped-ion quantum processor and discuss its applications. Our protocol is secure even if the remote device acts maliciously or is compromised by an intercepting adversary, provided the samples are generated quickly enough to preclude classical simulation of the quantum circuits. Moreover, by streaming quantum gates in real time to the quantum processor, we dramatically reduce the cost of verification, removing an important obstacle for practical use.

Analysis of multimodal cancer data is a computationally demanding but clinically important task. In this talk, we present results from a collaborative research effort between Infleqtion, the University of Chicago, and MIT as part of the Wellcome Leap Q4Bio project. We describe how we framed the problem of biomarker discovery as a combinatorial optimization problem and developed hybrid solvers to help find higher quality solutions to these problems.

The National Energy Research Scientific Computing Center (NERSC) is the mission scientific computing facility for the U.S. Department of Energy and provides high performance computing and data analysis resources to more than 12,000 users. A substantial fraction of workloads run on NERSC systems involves solving quantum many-body problems, underscoring the significant potential of QC technologies to advance NERSC's scientific mission. In this talk, we will see how NERSC is preparing for this emerging technology and share recent progress from our R&D activities and quantum user programs.

The Naval Research Laboratory (NRL) proposed a way to recast fluid-dynamics equations (using a Carleman form of Burgers’ equation) into linear systems that a quantum computer can work with. Together, NRL and BlueQubit moved this from theory to practice on IBM’s Heron processor. We built a Variational Quantum Linear Solver (VQLS) for the fluid model and trained it with BlueQubit’s Hierarchical Learning, a step-by-step curriculum that keeps circuits shallow and training stable on today’s hardware. The workflow: turn the PDE into a linear system, map it to a quantum circuit, and train in stages on the device. This is an early, practical demonstration of a quantum approach to fluid dynamics on real hardware, pointing toward scalable workflows for more complex flows as devices and methods improve.

Contingency analysis is a key process in power grid operation and planning that evaluates the grid’s ability to withstand potential failures like the outage of a generator, transformer, or transmission line without violating system limits. The number of “what if” failures grows combinatorially and is difficult to solve classically. Infleqtion and Eaton are partnering to tackle these challenges in contingency analysis using quantum computing.

Connecting thousands of qubits poses a major challenge for the i/o in quantum systems. In this Talk, Daan Kuitenbrouwer, Co-Founder of Delft Circuits will explain the companies' state-of-the-art i/o technology, Cri/oFlex(R). This technology is based on (superconducting) circuits, integrated microwave filters, and high-density interfacing (connectors). Accordingly, key challenges and solutions in terms of scaling the number of qubits are addressed by Delft Circuits' product roadmap.

Mission impact is critical to customers and to the success of the quantum industry. GDIT hosts a fireside chat with key quantum partners to garner insights on how addressing customer mission requirements impacted technology / product / team capabilities.

In this panel, VCs will share how they think about opportunities across the quantum landscape, including the importance and timing of commercially relevant use cases, incremental changes in the macro and policy landscape, and to what degree generative AI is a tailwind or headwind. They will also discuss how the vendor landscape is evolving and to what extent raising capital may be of growing importance.

High-performance computing centers are becoming the proving ground for real-world use cases that will benefit from quantum and classical compute resources, unlocking the first verifiable quantum advantage that will deliver real scientific and commercial impact. This talk highlights how leading HPC facilities are integrating Q-CTRL’s technology at scale through recent ecosystem breakthroughs, including: Elevate Quantum’s open-architecture system in Colorado, the first in the U.S. enabling flexible, multi-vendor quantum integration leveraging Q-CTRL’s Quantum Utility Block (QUB), a modular framework that accelerates deployment of quantum resources for HPC and enterprise R&D. RIKEN’s advanced hybrid supercomputing environment, where Q-CTRL’s Fire Opal is natively integrated to maximize quantum performance. The session explores these first-of-its-kind, commercial implementations that have unlocked early performance gains, overcome integration challenges, and pioneered an emerging model for frictionless hybrid workloads, demonstrating how HPC platforms are transforming research pipelines and opening new pathways for impact.

Quobly is advancing silicon-based quantum computing by engineering qubit devices fully compatible with industrial CMOS flows. Maud Vinet, CEO and co-founder, will outline Quobly’s architecture and fabrication strategy for scalable spin-qubit platforms. Nicolas Daval, Chief Engineering Officer, will present the setting up of the supply chain with Soitec’s 28Si-enriched FD-SOI substrates inserted into STMicroelectronics’ 300 mm line, and will present recent progress highlighting controlled variability, material purity, and process reproducibility at scale. Their talk will detail how Quobly is establishing an industrial-grade qubit manufacturing pipeline, enabling the transition from laboratory prototypes to fab-ready quantum hardware.

Presentation will summarize findings of the QED-C sponsored fifth annual global QC market study that will include details on the global QC market size and composition, projected growth rates, commercial dynamics, as well as end user interest and expectations for the sector.

As Europe’s energy sector evolves to meet climate, security, and competitiveness goals, Elia Group role, as a grid owner and operator, is becoming increasingly complex. We require new and ever-more effective tools to maintain grid stability, ensure cost efficiency, and integrate higher amounts of renewable energy into the system. Although still in its early stages of development, quantum computing is emerging as a promising way to address these challenges.

Quantum error correction (QEC) is an essential requirement on the path to utility-scale quantum computing. Riverlane and Rigetti are working together in a long-term collaboration to advance the hardware capabilities needed for fault tolerant quantum computation. In a recent project, Riverlane’s QEC stack Deltaflow, was integrated with Rigetti’s quantum computer, as part of a series of testbeds at the UK’s National Quantum Computing Centre (NQCC).

Frequent, severe floods demand rapid insights from vast satellite data, but traditional analytics can’t keep pace. Our competition winning entry for the NASA’s “Beyond the Algorithm” Challenge applied our hybrid quantum-classical techniques to improve flood detection. Our approach is designed to bring provide value today using quantum algorithms which can run on existing hardware. We are expanding this approach with open-source tools for broader climate and space applications, and welcome partnerships to turn quantum innovation into real-world impact for disaster response.

As quantum computing advances through the Noisy Intermediate-Scale Quantum (NISQ) era, the pursuit of near-term quantum advantage remains a central theme. This panel will examine what near-term quantum advantage entails, the realistic possibilities it presents, and its significance for Applied Quantum Computing. Through expert insights and practical perspectives, we aim to clarify how emerging quantum capabilities can deliver meaningful impact before fault-tolerant systems become mainstream.

Accurate electronic-structure prediction for metalloenzymes can accelerate development, reduce costs, and minimize environmental impact for consumer-product sector. We present a hybrid classical-quantum workflow on a cobalt complex using AVAS-selected active spaces and CASSCF benchmarks, combined with a quantum-compatible Local Unitary Coupled Cluster with Jastrow initialized from CCSD and solved via Sample-Based Quantum Diagonalization. This approach captures strong static correlation and spin-dependent reactivity with lower resource overhead than full multireference methods, enabling confident prioritization of enzyme variants and catalytic pathways.

Perspectives on the latter stage and public listing environment for quantum technologies. How are quantum technology companies assessed by investors when looking to raise late-stage financing.

We stand at the definitive inflection point where quantum computing moves from the lab to the living room. Join MOTH to discover how we’re building the critical application layer that connects consumers directly to QPUs, transforming the immediate future of gaming and media. Learn how we are preparing to shatter the computational ceiling and build engaging digital worlds with complex behavior once thought to be impossible.

Fault-tolerant quantum computing requires not only improved qubit quality but also sophisticated software infrastructure capable of real-time quantum error correction (QEC). This talk presents a complete automated pipeline for real-time QEC implementation, developed through collaboration between Entropica Labs and Quantum Machines at the Israeli Quantum Computing Centre. The system integrates Loom (QEC compiler and orchestration software), Quantum Machines' OPX1000 controller, and NVIDIA's DGX Quantum platform to enable end-to-end "Plug-and-Play" quantum error correction. The automated workflow encompasses QEC scheme design, code generation, hardware deployment, and real-time controller-decoder coordination, enabling rapid prototyping and benchmarking of error correction strategies.

As we enter the second century of quantum mechanics, progress toward fault-tolerant quantum computing is accelerating. I will highlight some recent milestones in hardware, algorithms, and error correction, and discuss their implications for reaching practical quantum advantage.

Quantum emerged from the global scientific community. As uses with economic value and national security implications have been discovered, commercialization is driving cross-border business while governments are striving for technological self-sufficiency. This talk reviews public and private sector actions and how they intersect.

GPS denial has become a challenge of strategic and economic importance, with over 1000 flights per day disrupted by GPS jamming since March 2024, and major international ports being forced to close due to the unreliability of GPS signals. Quantum sensing has long promised the potential to address this challenge, but the failure of quantum sensors on noisy moving vehicles has served as a roadblock similar to the problem of error and hardware instability in quantum computing. In this talk we’ll introduce how Q-CTRL’s software-ruggedized quantum sensors have overcome this deployment challenge and enabled the realization of the first true commercial quantum advantage since the development of atomic clocks in quantum navigation. Position-fixing via geophysical map matching leverages quantum sensors as a new set of eyes to see the earth, stabilized with software to suppress the sources of interference that typically overwhelm system performance in real-world settings. Through field trials on crewed and unmanned airborne platforms, maritime vessels, and ground vehicles, we’ll showcase how mobile quantum magnetometry and gravimetry are now delivering a reliable GPS backup that is unjammable, unspoofable, and undetectable. This technology fills a major operational gap relative to other “alt-nav” approaches, forming a critical component of a multi-mode GPS backup. Our success deploying Ironstone Opal with defense and commercial partners makes clear that quantum advantage has already arrived in quantum sensing through software ruggedization.

Quantum computation at useful scales requires tight integration between real-time quantum control systems and high-throughput classical accelerators. This work presents Quantum Machines’ vision for such integration that includes multiple latency regimes, and variegated classical resources. We detail the OPX1000 controller with dense pulse-level orchestration and integrated classical processing, and a CPU-GPU-QPU integration via NVIDIA DGX Quantum. We illustrate example of workflows enabled by this novel system, for optimization and large-scale calibration routines based on reinforcement learning, together with a quantum error correction decoding on classical accelerators. Together, these components define a practical roadmap to utility-grade, fault-tolerant quantum supercomputers grounded in hybrid control.

Photonics is emerging as a breakthrough path to scalable and fault-tolerant quantum computing. We present recent progress highlighted by Aurora, the world's first scalable, networked and modular quantum computer, and the first demonstration of GKP qubits on an integrated photonic chip. Together these advances show how Xanadu's photonic architecture provides powerful benefits for error correction and system integration that enable a practical and scalable path toward large-scale quantum systems.

The Midwest is rapidly becoming a powerhouse for quantum innovation, with Northwest Indiana at its core. Fueled by Purdue Northwest’s Roberts Impact Lab for applied quantum research, the nation’s first quantum-secure communications testbed, and a recent $600 million Defense Innovation OnRamp award to the Applied Research Institute (ARI), the region is redefining how the U.S. accelerates technology commercialization for national defense and economic growth. The panel will explore: How public-private-academic partnerships are aligning to make the Midwest a quantum epicenter. The role of the Roberts Impact Lab and regional assets in bridging R&D with real-world defense applications. Infrastructure and policy advantages making Northwest Indiana a launchpad for next-generation quantum and AI-enabled technologies.

Global demand for compute is insatiable, and the quantum computing industry is on the brink of a “ChatGPT moment” - a breakthrough use case that will fuel this demand even further. The race is on to build quantum computers with 10 KiloQubits and beyond, but due to chip packaging bottlenecks, current approaches rely on networked systems with multiple chillers and interconnects, which introduce complexity, cost, and performance limitations. QuantWare’s VIO 3D architecture resolves these scaling issues—fan-out, modularity, heat load, and component integration—enabling truly modular scaling. VIO delivers vastly lower total cost of ownership (TCO) and higher compute per watt. VIO is rapidly becoming the scaling standard and is being adopted by leading players. At this talk, we present the next critical leap on our journey and the foundation for MegaQubit QPUs: the world’s first 10-KiloQubit QPUs. For the first time, we will reveal VIO-40K and the industrial production capabilities to deliver processors of this size

"For decades, quantum effects were thought to exist only in well isolated systems with pristine qubits. However, recent discoveries in biology have confirmed that even in noisy, open systems, quantum effects can not only exist, but can also play vital functional roles. These insights open the door to a new approach in quantum computing that is inherently robust, scalable and capable of operating at room temperature. In this talk, I will trace our journey since 2006 in developing the theoretical framework, demonstrating proof-of-concept, and now commercial systems for quantum computing in open systems."

What if the fastest path to commercially relevant quantum applications isn’t packing more qubits into a system, but building distributed systems from scalable modules connected by fast quantum networks? While we believe this to be true, until now, Quantum Resource Estimation (QRE) did not consider the full costs of distributed computing for utility-scale applications. Until these hidden costs are included, there cannot be an apples to apples comparison of true resource requirements to understand how a distributed approach can deliver value sooner than monolithic approaches. We present competitive estimates on Photonic’s Entanglement First™ architecture that include distribution costs currently unaccounted for in existing QRE approaches.

This session outlines AWS's quantum strategy and latest service capabilities, demonstrating how organizations can begin experimenting with quantum algorithms alongside classical computing workloads. Senior technical and business leaders will gain a clear understanding of current quantum capabilities, experimental approaches, and how future quantum computers will integrate with HPC systems.

Quantum advantage is the next major milestone in quantum computing. Achieving it will take more than progress in hardware and error correction. End users must contribute with demand-side innovation to bend the timeline forward for the entire industry.

GQI will present the results of our recent Quantum Market Model (QMM) study to forecast the economic values available in quantum tech for both providers and users of the technology in the major product segments including quantum computing, quantum communications, quantum-safe, and quantum sensing. The model provides a multi-dimensional view of the markets to allow analysis from different perspectives including value chain segments, technology era, market scenarios, timeframe, end-use industry, and geography.

Olivier Ezratty will present a framework to analyze quantum computing use cases and case studies, starting will detailing the vendor and academic semantics used here, and then how to seriously grade the value of these cases along multiple figures of merit and quantum advantage categories. He will derive some lessons from the multiple existing NISQ toy models cases, and the first early applications showing some potential quantum advantage in multiple domains. He will then cast the role of resource estimates for FTQC future use cases as key to enhance the dialog between end-users and industry vendors.

The Masterclass will show how quantum computing will have a wide impact for all sectors of the global economy. For end users it will describe a structured approach for quantum adoption to take them from identifying appropriate industry problems to deployment. It will include a brief description of important algorithms with an emphasis on those we think have the best possibility of achieving early value.

G-QuAT started operating a GPU-HPC system for quantum computing research and QPUs this year. Testing services are also provided for suppliers and vendors. G-QuAT’s main mission is market creation; therefore, we cover fundamental activities such as leading-edge research, fabrication and testing services, standardization, and other related areas. Market creation through quantum computing requires international collaboration in both R&D and business. This involves not only collaborative research and development, but also enhancing global workforce mobility.

When quantum computing becomes useful, it will be in the form of a new kind of co-processor or accelerator in analogy to the GPU of 20 years ago. We will discuss several issues in computer architecture that need to be resolved so that this model can flourish and describe how the NVQLink enables the entire quantum industry to overcome these issues.

This talk presents a quantum error correction architecture that significantly reduces the resource overhead required to reach megaquop-scale quantum simulation on neutral-atom systems. By leveraging partially fault-tolerant techniques together with the reconfigurable connectivity and inherent parallelism of neutral-atom hardware, the approach brings large-volume Hamiltonian evolution into realistic near-term reach.

The BII Quantum Lab program at BII is the only NATO DIANA Accelerator Site focussing exclusively on quantum-technology based start-ups. This talk will discuss the rationale behind this strategic choice and the learnings from the first two years of operations in a rapidly-changing geopolitical environment where quantum technology continues to gain prominence.

With the projected near onset of QC utility, interest within the HPC sector is on the rise. The session will present an overview of the necessary steps aspiring QC suppliers can take to address HPC end users’ QC requirements to enable effective HPC/QC integration.

There are now unprecedented strategic investments in building superconducting Quantum Compute capability, but organizations building their first full stack Quantum Computer face a dilemma. Full stack offerings have the attraction of a complete system, but easily run into the mid-to-high tens of millions of dollars. These systems can also be black box with a lack of flexibility in implementation, scaling options, or subsystem vendor selection. Alternatively, there is the option to assemble a solution in-house, but that can take up to 1 year or more to evaluate supplier options, place orders, assemble systems, and validate performance. While offering a more cost effective, flexible, and transparent option, these in-house solutions also come with fear, uncertainty, and a burden to up-skill on the specialized nature of maintaining a quantum system. However, with their newly announced Quantum Utility Block (or "QUB”) partnership, QuantWare, Q-CTRL and Qblox bring proven full stack Open Architecture reference implementations to their joint customers, greatly reducing the barrier of entry to full stack Quantum Compute. QUB provides a new third option, allowing organizations to achieve their Quantum Computer goals faster, at significantly lower cost and with greater control.

This talk presents an in‑depth exploration of the global quantum technology landscape, using VALUENEX’s topological cluster mapping and Natural Language Processing (NLP) technologies. We benchmark momentum and trends across key domains, such as quantum computing, sensing & timing, communications, and security, while providing an international comparison of focus, density, and trajectory (United States, China, EU, Japan, and others).

Maryland’s Capital of Quantum Initiative (CQI) is a landmark public-private partnership designed to grow the state’s global leadership in quantum information science and technology. Anchored in the Discovery District of College Park, CQI leverages Maryland’s decades-long quantum research legacy, proximity to key federal agencies, and ties to national security to catalyze $1 billion in strategic investments. This talk will explore how CQI bridges university entrepreneurship, commercial innovation and federal mission needs, establishing Maryland as an epicenter of America’s quantum economy.

This masterclass empowers business and defense professionals to understand the real-world applications and market implications of quantum technologies across AI, telecommunications, and security. It explores how quantum communication, sensing, and computing are transforming industrial competitiveness, data integrity, and defense capabilities. Participants will gain a practical framework for integrating quantum innovation into their corporate strategy, investment planning, and technology roadmaps.

Over the past decade, Illinois, Wisconsin, and Indiana have come together to advance quantum information science and technology, prepare the workforce, and drive innovation and commercialization. These efforts harness decades of federal research investments, the world’s top experts, and deep corporate partnerships; together they are building a research-through-innovation culture, lowering growth and scaling barriers for quantum companies, and bringing incumbent industries to the table. This presentation will highlight how the Quantum Prairie has become a central driver of US leadership in quantum technologies and national security, and how it aims to catalyze these efforts in the coming years.

Superconducting qubits are viewed as one of the most viable qubit modalities for reaching quantum advantage and fault tolerance due to their fast gate speeds and clear path to scaling. This talk will explore how superconducting qubits work, their advantages, and the scaling technologies being leveraged to build increasingly larger and better performing superconducting quantum systems.