6 papers
Accelerating Quantum Dense-Output Simulation through Locality
Songqinghao Yang, Chang Liu, Junkai Wang +2
Estimating time-accumulated observables, or dense outputs, is central to extracting classical information from quantum simulations. Whereas most quantum-simulation algorithms aim t…
Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative
Cassandre Notton, Vassilis Apostolou, Agathe Senellart +28
The Perceval Challenge is an open, reproducible benchmark designed to assess the potential of photonic quantum computing for machine learning. Focusing on a reduced and hardware-fe…
Experimental Demonstration of the PBR Test on a Superconducting Processor
Songqinghao Yang, Haomu Yuan, Crispin H. W. Barnes
We present an experimental implementation of the Pusey-Barrett-Rudolph (PBR) no-go theorem on IBM's 156-qubit Heron2 Marrakesh superconducting quantum processor. By preparing qubit…
Circuit-Efficient Randomized Quantum Simulation of Non-Unitary Dynamics with Observable-Driven and Symmetry-Aware Designs
Songqinghao Yang, Jin-Peng Liu
We introduce random-LCHS, a circuit-efficient randomized-compilation framework for simulating linear non-unitary dynamics of the form built on…
Kirkwood-Dirac Nonpositivity is a Necessary Resource for Quantum Computing
Jonathan J. Thio, Songqinghao Yang, Nicole Yunger Halpern +3
We elucidate the boundary between classical and quantum computation by constructing qubit Clifford circuits with nonstabilizer inputs that can be efficiently simulated classically.…
Iterative quantum optimisation with a warm-started quantum state
Haomu Yuan, Songqinghao Yang, Crispin H. W. Barnes
We provide a method to prepare a warm-started quantum state from measurements with an iterative framework to enhance the quantum approximate optimisation algorithm (QAOA). The nume…