AQS News

Applied Quantum Software has submitted a paper to arXiv presenting a new quantum machine learning algorithm for finance: Holographic Quantum Circuit Sampling (HQCS). HQCS is a quantum generative model that learns patterns in historical market data, such as volatility clustering and fat tails, and generates realistic synthetic market scenarios. The paper demonstrates the method on the CBOE Volatility Index (VIX), where it reproduces the distribution of market behavior more faithfully than the classical machine-learning benchmarks tested, and proves that the approach avoids the exponential training barriers that limit many quantum models as sequence length grows.

The paper was authored by Bingzhi Zhang, AQS CSO Matt Lee, AQS CEO Tom Finke, and AQS CTO Quntao Zhuang. AQS has filed a patent application covering the quantum algorithm.

We are thrilled to announce that Applied Quantum Software has been admitted into the IBM Quantum Network as a quantum software startup! Joining this global community places AQS alongside the world's leading enterprises, startups, universities, and national laboratories that are building the future of quantum computing on IBM's advanced quantum systems. Membership gives our team direct access to IBM's most capable quantum hardware and software, strengthening our ability to develop, benchmark, and deliver practical, production-ready quantum solutions for finance and beyond. We are excited to put this access to work for our customers and partners as we accelerate the path to real-world quantum advantage.

WISER, The Washington Institute for STEM, Entrepreneurship and Research, hosted its 2026 Summer Program on Quantum + AI Optimization. AQS gave a guest lecture discussing how AQS is developing practical quantum technologies, and explored the challenges, opportunities and real-world applications shaping the industry.

AQS delivered a guest lecture for the UC Berkeley Haas School of Business graduate program in Financial Engineering, course 230T, “Insights into the Future of Quantitative Quantum Computation.” The full AQS team presented across the quantum landscape, from an introduction to the quantum industry and quantum computing for quantitative finance, to quantum algorithms, the current state of AQS’s finance use-case algorithms, and a live demo of the AQS FabriQ platform. AQS is now collaborating with the UC Berkeley Haas School of Business, providing its financial engineering students with access to the AQS FabriQ platform to carry out research projects on finance use cases that incorporate quantum and quantum-inspired algorithms.

Applied Quantum Software has successfully graduated from Creative Destruction Lab (CDL) 2025/2026 Quantum stream. Over the course of the program, AQS refined its go-to-market strategy, connected with world-class mentors and investors, and validated its approach to bringing quantum computing into production financial workflows. Graduating from CDL marks a significant milestone for AQS, reinforcing the company’s position at the intersection of quantum computing and enterprise finance.

Investment firm Triaxiom Capital and Applied Quantum Software announce a collaboration to develop and deploy quantum-powered risk metrics for institutional portfolio management.

Together we are implementing commonly-used measures of financial risk such as portfolio Value-at-Risk and Conditional Value-at-Risk, using quantum algorithms running on simulators and real QPUs, as well as quantum-inspired tensor network approaches, benchmarked against results generated using classical Monte Carlo simulation.

Triaxiom Capital is a regulated quantitative investment firm trading in global financial markets through a systematic application of mathematical models. Triaxiom Capital, LLC is solely registered as a Commodity Pool Operator, based in San Francisco, CA.

Applied Quantum Software participated in Creative Destruction Lab’s quantum stream session for the 2025/2026 cohort at the University of Toronto, connecting with mentors, investors, and fellow quantum ventures.

Applied Quantum Software established its first SAFE (Simple Agreement for Future Equity) agreement with a deep-tech angel investor, marking an important milestone in the company’s growth.

New research from Dr. Zhuang's team bridges theoretical quantum physics and practical experimentation, with implications for quantum algorithm design. The conventional approach for generating genuine random states, called `deep thermalization’, faces significant challenges, including scalability issues due to the need for a large ancilla system and susceptibility to attacks.

Holographic deep thermalization is a secure and hardware-efficient quantum random state generator. By adopting a sequential application of a scrambling-measure-reset process, it continuously trades space with time, and substantially reduces the required ancilla size to as small as a system-size independent constant. At the same time, security is guaranteed by removing quantum correlation between the data system and attackers. A circuit-based implementation on IBM Quantum devices achieves genuine 5-qubit random state generation utilizing only 8 physical qubits.

AQS joined Quantum Rings, the premier provider of large-scale quantum simulation solutions, at their booth during the Q2B 2025 Silicon Valley conference, showcasing their partnership and the AQS platform to the quantum computing community.

In this webinar and demonstration, Tom Finke and Floyd Smith of AQS describe the potential impact of quantum computing on financial services, and demonstrate how to use the AQS platform with market data from OneTick Cloud and quantum computing services from IBM Quantum. This informative session was designed for financial professionals who want to be ready to use live market data feeds with quantum computing as the technology improves. Attendees include BlackRock, Bloomberg, BMO, BNP Paribas, Federal Reserve, HSBC, Jefferies, JPMorgan, State Street, StoneX, TD Securities, and Vanguard.

OneMarketData is the premier provider of software and market data for the financial industry. The flagship product, OneTick, is a comprehensive software suite for time-series data management and real-time intraday analytical event processing. Proprietary traders, hedge funds, and investment banks leverage the built-in capabilities of OneTick for quantitative research, transaction cost analysis, trade surveillance, and portfolio backtesting.