264 citations
- Imperial College LondonGB8 papers
- Stanford UniversityUS6 papers
- Unitary FundUS5 papers
- University of OxfordGB4 papers
- California Institute of TechnologyUS3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- Los Alamos National LaboratoryUS3 papers
- Michigan State UniversityUS3 papers
- Rutherford Appleton LaboratoryGB3 papers
- Universidad Autónoma de MadridES3 papers
- Universität HamburgDE3 papers
- University College LondonGB3 papers
42 papers
Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
Yidong Jiang, Junrong Chen, Eftychia Makri +7
With the increasing deployment of Large Language Models (LLMs) in the finance domain, LLMs are increasingly expected to parse complex regulatory disclosures. However, existing benc…
Low Depth Phase Oracle Using a Parallel Piecewise Circuit
Zhu Sun, Gregory Boyd, Zhenyu Cai +7
We explore the important task of applying a phase to a computational basis state . The closely related task of rotating a target qubit by an angle…
Derivative Pricing using Quantum Signal Processing
Nikitas Stamatopoulos, William J. Zeng
Pricing financial derivatives on quantum computers typically includes quantum arithmetic components which contribute heavily to the quantum resources required by the corresponding…
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
Elijah Pelofske, Vincent Russo, Ryan LaRose +5
Quantum Volume is a full-stack benchmark for near-term quantum computers. It quantifies the largest size of a square circuit which can be executed on the target device with reasona…
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications
Micah Musser, Andrew Lohn, James X. Dempsey +14
In July 2022, the Center for Security and Emerging Technology (CSET) at Georgetown University and the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Polic…
End-to-end resource analysis for quantum interior point methods and portfolio optimization
Alexander M. Dalzell, B. David Clader, Grant Salton +8
We study quantum interior point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We provide a complete quant…