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20192026
most citedDifferentiable Analog Quantum Computing for Optimization and Control

5 citations · 6 across the 5 of their papers we have counts for

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quant-ph2024

QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent

Samuel Kushnir, Jiaqi Leng, Yuxiang Peng +2

We develop an open-source, end-to-end software (named QHDOPT), which can solve nonlinear optimization problems using the quantum Hamiltonian descent (QHD) algorithm. QHDOPT offers…

quant-ph2024

Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding

Jiaqi Leng, Joseph Li, Yuxiang Peng +1

Many promising quantum applications depend on the efficient quantum simulation of an exponentially large sparse Hamiltonian, a task known as sparse Hamiltonian simulation, which is…

quant-ph2023

A Case for Synthesis of Recursive Quantum Unitary Programs

Haowei Deng, Runzhou Tao, Yuxiang Peng +1

Quantum programs are notoriously difficult to code and verify due to unintuitive quantum knowledge associated with quantum programming. Automated tools relieving the tedium and err…

quant-ph20225 cited

Differentiable Analog Quantum Computing for Optimization and Control

Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao +2

We formulate the first differentiable analog quantum computing framework with a specific parameterization design at the analog signal (pulse) level to better exploit near-term quan…

quant-ph2019

Experimental Realization of Device-Independent Quantum Randomness Expansion

Ming-Han Li, Xingjian Zhang, Wen-Zhao Liu +12

Randomness expansion where one generates a longer sequence of random numbers from a short one is viable in quantum mechanics but not allowed classically. Device-independent quantum…