Unveiling the first fully integrated and complete Quantum Monte Carlo Integration Engine
ĢƵ Scientists have created a full Quantum Monte Carlo Integration (QMCI) engine – with some evidence of quantum advantage
Cambridge, UK, September 12th, 2023 — ĢƵ, the world’s leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.
The QMCI tool, utilizing advanced quantum algorithms, will allow quantum computers to perform estimations more efficiently and accurately than equivalent classical tools, inferring an early-stage quantum advantage in areas such as derivative pricing, portfolio risk calculations and regulatory reporting. A white paper supporting the new tool reveals that QMCI benefits from a computational complexity advantage over classical MCI, and suggests the engine has the potential to provide quantum usefulness in its current form.
The white paper, , has been made available on arXiv, detailing, among other items, “the enhanced P-builder”, a tool for constructing quantum circuits representing commonplace computational methods used in finance. The white paper also proposes how users of the new tool could obtain quantum advantage without compromising statistical robustness in the ensuing estimates.
Ilyas Khan, Chief Product Officer of ĢƵ said “ĢƵ’s end-to-end QMCI engine – the first ever complete quantum solution, offers the prospect of an immediate boost to the productivity of users in at least two sectors: banking and financial institutions, and scientists who expect quantum computers to help them process the vast amounts of data generated in experimental fields such as high energy physics. Our QMCI engine is the culmination of years of work by our algorithms team, and highlights just how quantum computers will offer practical utility. Our modular approach also ‘future-proofs’ the engine as quantum computing hardware advances."
The engine has four modules - loading probability distributions and random processes as quantum circuits; programing a wide variety of financial calculations; programming different statistical quantities (e.g. mean, variance and others); and the estimation of quantum amplitude, which is the core source of computational advantage in QMCI. The engine features a resource mode, which precisely quantifies the exact quantum and classical resources needed for user-specified calculations – a feature which is essential for predicting when particular applications will enjoy quantum advantage. Thus, the paper reveals a direct line of sight to quantum advantage and concludes users will achieve useful benefits sooner still.
Dr. Steven Herbert said: “The QMCI engine taps into rapidly growing demand for tools that help global organizations in finance and other sectors explore and evaluate their route towards quantum advantage. Classical Monte Carlo integration is the preferred method in a range of computational areas where analytic solutions are unavailable and it is widely recognized that these methods will benefit from a quantum advantage. By taking a modular approach, we will equip those scientific and financial professionals with a platform that supports them flexibly through rapid technological advances in the years to come.”
The new white paper sets out the areas that stand to benefit from the development of QMCI, beyond finance, including achieving efficiencies in supply chain and logistics, energy production and transmission, and data-intensive fields of science such as solving the high-dimensional integrals in high-energy physics. It concludes that use cases such as estimation and forecasting can benefit from the new QMCI engine in its current form.
Banks and financial institutions are expected to increase investment in quantum computing capabilities from , growing at a 10-year CAGR of 72%.
About ĢƵ
ĢƵ is the world’s largest integrated standalone quantum computing company, formed by the combination of Honeywell Quantum Solutions’ world-leading hardware and Cambridge Quantum’s class-leading middleware and applications. Science-led and enterprise-driven, ĢƵ accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance and optimization. Its focus is to create scalable and commercial quantum solutions to solve the world’s most pressing problems in fields such as energy, logistics, climate change, and health. The company employs over 480 individuals, including 350+ scientists and engineers, at eight sites across the United States, Europe, and Japan. For more information, please visit .
The Honeywell trademark is used under license from Honeywell International Inc. Honeywell makes no representations or warranties with respect to this service.
About ĢƵ
ĢƵ, the world’s largest integrated quantum company, pioneers powerful quantum computers and advanced software solutions. ĢƵ’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With over 500 employees, including 370+ scientists and engineers, ĢƵ leads the quantum computing revolution across continents.
- Letter of intent from the U.S. Department of Commerce proposes to provide R&D funding for ĢƵ to address specific technology bottlenecks in the development of fault-tolerant trapped-ion quantum computers
- ĢƵ expected to partner with leading onshore semiconductor manufacturing and photonics technology suppliers to strengthen U.S. semiconductor supply chain and manufacturing capabilities
WASHINGTON, D.C. — ĢƵ, a leading quantum computing company, today announced a letter of intent with the U.S. Department of Commerce’s CHIPS Research and Development Office. The letter of intent proposes that ĢƵ would receive federal funding to enable the development of large-scale, fault-tolerant trapped-ion quantum computers that are of national strategic importance.
“With today’s CHIPS Research and Development investments in quantum computing, the Trump administration is leading the world into a new era of American innovation,” said Secretary of Commerce Howard Lutnick. “These strategic quantum technology investments will build on our domestic industry, creating thousands of high-paying American jobs while advancing American quantum capabilities.”
Key to this initiative is overcoming specific technical bottlenecks and strengthening domestic supply chains and manufacturing capabilities, consistent with the U.S. government’s goal of growing its leadership in semiconductor technology and accelerating the commercialization of frontier industries, such as artificial intelligence and quantum computing.
“Quantum computing has the potential to unlock new possibilities across science, industry, and national priorities for decades to come,” said Dr. Rajeeb Hazra, President and CEO of ĢƵ. “This collaboration with the Department of Commerce is designed to help ĢƵ’s path to large-scale, fault-tolerant trapped-ion systems while strengthening the U.S. innovation and manufacturing ecosystem.”
The letter of intent supports ĢƵ’s plan to partner with the CHIPS R&D Office and onshore suppliers GlobalFoundries, for critical semiconductor components, and Monarch Quantum, for integrated photonics, to further optimize key engineering pathways for components within ĢƵ’s future commercial roadmap.
“GlobalFoundries is excited to partner with ĢƵ on their ion-trap quantum technology,” said Tim Breen, CEO of GlobalFoundries. “We believe GF’s differentiated semiconductor platforms in cryo-CMOS, cryo-3D interconnect, and advanced packaging, combined with ĢƵ's deep ion-trap expertise, will help ĢƵ accelerate their quantum system scale-up roadmap to utility-scale quantum computing.”
“Monarch Quantum is proud to partner with ĢƵ to advance U.S. leadership in next-generation computing infrastructure,” said Dr. Timothy Day, Chairman & CEO of Monarch Quantum. “By delivering advanced integrated photonics through a resilient domestic supply chain, we are committed to supporting the secure, scalable manufacturing required for fault-tolerant quantum systems.”
In addition to strengthening domestic semiconductor manufacturing and supply chain resilience, this initiative is expected to support development of a specialized workforce for next-generation quantum computing technologies.
About ĢƵ
ĢƵ is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of trapped-ion based quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry’s highest accuracy levels based on average two-qubit gate fidelity.1 ĢƵ has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets.
The company has a global workforce of approximately 700 employees, including top scientists and researchers. Over 70% of its technology team holds PhDs or Master’s degrees. ĢƵ’s headquarters is in Broomfield, Colorado, with additional facilities across the United States, United Kingdom, Germany, Japan, Qatar, and Singapore.
For more information, please visit www.quantinuum.com.
Cautionary Statement Concerning Forward-Looking Statements
This press release contains certain statements that may be deemed “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements include all statements that are not historical facts. The words “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “future,” “will,” “seek,” “foreseeable,” the negative version of these words, or similar terms and phrases are intended to identify forward-looking statements. Such statements are based on certain assumptions and assessments made by our management in light of their experience and their perception of historical trends, current economic and industry conditions, expected future developments and other factors they believe to be appropriate. The forward-looking statements included in this release are also subject to a number of material risks and uncertainties, including but not limited to economic, competitive, governmental, and technological factors affecting our operations, markets, products, services and prices. New factors emerge from time to time, and it is not possible for ĢƵ to predict all such factors. Any forward-looking statement speaks only as of the date on which it is made, and, except as required by law, ĢƵ does not undertake any obligation to update or revise any forward-looking statement, whether as a result of new information, future events or otherwise.
1As of December 31, 2025.
Broomfield, CO, May 20th, 2026 — ĢƵ, a leading quantum computing company, today announced the launch of a new quantum project in collaboration with bp, the global integrated energy company, aimed at modernizing how the energy sector maps the Earth’s subsurface to locate oil and gas resources.
Few tasks in today’s oil and gas sector demand as much raw computational power as seismic imaging. Building on a successful pilot that demonstrated feasibility, bp and ĢƵ are now scaling their approach to simulate more complex subsurface properties.
“This has the potential to be a very important industrial use case for quantum computing,” said Dr. Rajeeb Hazra, President and CEO of ĢƵ. “By enabling higher-fidelity data at a lower computational cost than classical computing, we can potentially provide a more efficient path for energy exploration.”
On classical computers, computational requirements, such as memory, scale with spatial resolution, so doubling the resolution of a seismic image can require up to double the computational resources. By contrast, in an ideal scenario, a quantum computer could theoretically achieve the same resolution gains with the addition of a single qubit,1 potentially compressing simulation timelines while also reducing energy consumption.
Hybrid quantum-classical approaches have the potential to further optimize performance, with quantum processors tackling the most demanding calculations while classical systems manage data logic, allowing results to remain grounded in real-world physics.
If successful, this project could demonstrate that quantum computing can help solve real-world bottlenecks in global infrastructure and resource management.
About ĢƵ
ĢƵ is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry’s highest accuracy levels based on average two-qubit gate fidelity.2 ĢƵ has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets.
The company has a global workforce of approximately 700 employees, including top scientists and researchers. Over 70% of its technology team hold PhDs and Master’s degrees. ĢƵ’s headquarters is in Broomfield, Colorado, with additional facilities across the United States, United Kingdom, Germany, Japan, Qatar, and Singapore.
For more information, please visit www.quantinuum.com.
Cautionary Statement Concerning Forward-Looking Statements
This press release contains certain statements that may be deemed “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements include all statements that are not historical facts. The words “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “future,” “will,” “seek,” “foreseeable,” the negative version of these words, or similar terms and phrases are intended to identify forward-looking statements. Such statements are based on certain assumptions and assessments made by our management in light of their experience and their perception of historical trends, current economic and industry conditions, expected future developments and other factors they believe to be appropriate. The forward-looking statements included in this release are also subject to a number of material risks and uncertainties, including but not limited to economic, competitive, governmental, and technological factors affecting our operations, markets, products, services and prices. New factors emerge from time to time, and it is not possible for ĢƵ to predict all such factors. Any forward-looking statement speaks only as of the date on which it is made, and, except as required by law, ĢƵ does not undertake any obligation to update or revise any forward-looking statement, whether as a result of new information, future events or otherwise.
1 Adding one qubit doubles the dimensionality of the quantum state space, as referenced in "Quantum Computation and Quantum Information" by Isaac L. Chuang and Michael A. Nielsen, Cambridge University Press, 2nd Edition (2010)
2 As of December 31, 2025.
Broomfield, CO, May 19th, 2026 — ĢƵ, a leading quantum computing company, today announced a strategic collaboration with Synopsys, a global leader in electronic design automation and engineering simulation, focused on the integration of quantum computing into the modern engineering toolkit to help overcome the “computational wall” believed to be limiting the pace of industrial innovation.
The Challenge: Designing for Accuracy in the Physical World
Modern industrial design depends on high-fidelity simulation to make better decisions earlier — potentially reducing costly prototypes, shortening development cycles, and improving product performance. Across aerospace and advanced electronics, teams rely on computational fluid dynamics (CFD) and electromagnetic simulation to predict real-world behavior before build and test.
However, as products become more complex, simulation workloads scale dramatically and can require computational resources that exceed the capabilities of even the most advanced classical supercomputers. As a result, engineers must increasingly balance simulation accuracy against runtime, cost and development speed. The collaboration between ĢƵ and Synopsys seeks to overcome these limitations by integrating quantum computing capabilities directly into advanced engineering workflows.
“Our goal is to turn quantum computing into a practical business advantage for the world’s most innovative companies,” said Dr. Rajeeb Hazra, President and CEO of ĢƵ. “By improving how these core design equations are solved, we aim to help innovators explore more accurate models and accelerate breakthroughs in materials and next-generation technologies.”
Transforming Industrial Design with Quantum Computing
The companies aim to build a scalable, end-to-end workflow that integrates quantum algorithms directly into existing industrial software and libraries. By combining the industry-leading accuracy of ĢƵ’s systems with Synopsys’ deep expertise in engineering simulation and design tools, the partnership aims to make quantum computing a functional part of the modern engineering toolkit.
“This partnership is about giving innovators the tools they need to solve the world’s most difficult design challenges,” said Prith Banerjee, Senior Vice President of Innovation at Synopsys. “By integrating quantum computing into today's engineering workflows, we believe we can accelerate innovation while maintaining the standards and reliability that customers trust.”
The collaboration focuses on three key goals aimed at driving value for the engineering sector:
- Higher Accuracy for the Physical World: Enabling engineers to model critical physical details that were previously too costly for classical supercomputers to capture accurately.
- Faster and More Cost-Effective Simulations: Accelerating simulation timelines to help companies move from concept to prototype faster while significantly reducing R&D costs
- Greater Augmentation and Scale for Existing Workflows: Ensuring new quantum-native solvers maintain the rigorous validation standards and modeling intuition that industrial users demand.
By building on established CFD and electromagnetic capabilities, this effort aims to allow that as quantum computers scale, industrial engineers can explore future computational advantages without having to reinvent their design process. This approach builds on decades of validated engineering expertise while opening a new potential path alongside the new frontier for computing.
About ĢƵ
ĢƵ is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry’s highest accuracy levels based on average two-qubit gate fidelity. ĢƵ has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets.
The company has a global workforce of approximately 700 employees, including top scientists and researchers. Over 70% of its technology team holds PhDs and Master’s degrees. ĢƵ’s headquarters is in Broomfield, Colorado, with additional facilities across the United States, United Kingdom, Germany, Japan, Qatar, and Singapore.
For more information, please visit .
Based on average two-qubit gate fidelity of 99.921% as of December 31, 2025.
Based on average two-qubit gate fidelity of 99.921% as of December 31, 2025.