Strathclyde Researchers Propose Gate-Based Adiabatic Computing With Optimal QLSP Scaling and Stronger Trotter Bounds
Updated
Updated · Quantum Zeitgeist · May 30
Strathclyde Researchers Propose Gate-Based Adiabatic Computing With Optimal QLSP Scaling and Stronger Trotter Bounds
1 articles · Updated · Quantum Zeitgeist · May 30
Summary
Joseph Cunningham and Jérémie Roland proposed an adiabatic quantum computing framework that avoids simulating time-dependent Hamiltonian evolution, aiming to run directly on gate-based quantum computers with lower overhead.
Randomised unitaries sit at the core of the method, letting the computation track eigenstates through fidelity estimation instead of continuous-time evolution and tightening control over accumulated simulation error.
For the Quantum Linear Systems Problem, the framework achieves optimal scaling with the condition number by building on the pair’s 2024 algorithm, a key benchmark for quantum linear-system solvers.
Trotterisation analysis also produced asymptotically better error bounds than standard approaches, which could shorten circuit depth and ease demands on qubit coherence and gate fidelity.
The work broadens adiabatic quantum computing beyond time-evolution simulation and offers a theoretical path toward more accurate quantum algorithms on near-term hardware.