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quant-ph2024★ 1 cited
Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers
Yingheng Li, Yue Dai, Aditya Pawar +4
Photonic quantum computer (PQC) is an emerging and promising quantum computing paradigm that has gained momentum in recent years. In PQC, which leverages the measurement-based quan…
quant-ph2023
Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing
Yingheng Li, Aditya Pawar, Zewei Mo +3
Measurement-based quantum computing (MBQC) is a promising quantum computing paradigm that performs computation through ``one-way'' measurements on entangled quantum qubits. It is w…
quant-ph2023
QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting
Aditya Pawar, Yingheng Li, Zewei Mo +4
Quantum computing has recently emerged as a promising computing paradigm for many application domains. However, the size of quantum circuits that can be run with high fidelity is c…