MetaMorphQ defines five physics-derived invariants for VQE circuits that enable oracle-free testing with zero false positives and Youden's J of 0.57 on 500 benchmarks versus 0.02 for convergence testing.
A variational eigenvalue solver on a photonic quantum processor
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
Hybrid quantum training discovers parity bases that improve accuracy 24-42% on binary tasks and recover performance on text benchmarks, with all inference remaining classical.
A decomposed variational quantum pipeline for CROP achieves higher feasibility with PUBO formulations than global QUBO by exploiting block-diagonal structure to solve single-commodity subproblems.
citing papers explorer
-
MetaMorphQ: Physics-Based Metamorphic Testing of Variational Quantum Circuits
MetaMorphQ defines five physics-derived invariants for VQE circuits that enable oracle-free testing with zero false positives and Youden's J of 0.57 on 500 benchmarks versus 0.02 for convergence testing.
-
Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment
Hybrid quantum training discovers parity bases that improve accuracy 24-42% on binary tasks and recover performance on text benchmarks, with all inference remaining classical.
-
From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
A decomposed variational quantum pipeline for CROP achieves higher feasibility with PUBO formulations than global QUBO by exploiting block-diagonal structure to solve single-commodity subproblems.