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Quantum critical dynamics in a 5,000-qubit programmable spin glass
Andrew D King1, Jack Raymond2, Trevor Lanting2
1D-Wave Quantum Inc., Burnaby, British Columbia, Canada. aking@dwavesys.com.
Nature
|April 19, 2023
Summary
Quantum annealing accelerates spin glass optimization by leveraging quantum fluctuations, outperforming thermal methods. This study demonstrates a scalable quantum approach for faster energy minimization in complex systems.
Area of Science:
- Quantum Computing
- Condensed Matter Physics
- Computational Science
Background:
- Spin glasses are crucial for testing computational algorithms.
- Quantum annealing may offer faster optimization than thermal annealing for spin glasses.
- Reproducing this quantum annealing effect in a programmable system is a key challenge.
Purpose of the Study:
- To realize and study quantum-critical spin-glass dynamics on a large-scale quantum annealer.
- To compare the dynamics of quantum annealing with classical simulations and Monte Carlo algorithms.
Main Methods:
- Utilized a superconducting quantum annealer with thousands of qubits.
- Validated quantum annealing against the Schrödinger equation for small spin glasses.
- Measured spin-glass dynamics in large, three-dimensional systems.
Main Results:
- Achieved quantitative agreement between quantum annealing and Schrödinger equation evolution.
- Observed distinct dynamics for quantum annealing compared to Monte Carlo methods in large systems.
- Extracted critical exponents supporting the advantage of quantum annealing.
Conclusions:
- Quantum annealing enables faster optimization of spin glasses compared to thermal methods.
- Demonstrated a scalable quantum approach for simulating complex spin-glass dynamics.
- Provided evidence for a scaling advantage in energy optimization using quantum annealing.
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