EurekAlert August 3, 2021
A key open question in quantum computing is whether quantum algorithms can potentially offer a significant advantage over classical algorithms for tasks of practical interest. An international team of researchers (USA – Flatiron Institute, Columbia University, Switzerland) has introduced a method to simulate layered quantum circuits consisting of parametrized gates suitable for near-term quantum computers. They used a neural-network parametrization of the many-qubit wavefunction focusing on states relevant for the Quantum Approximate Optimization Algorithm (QAOA). For the largest circuits simulated, they reached 54 qubits at 4 QAOA layers without requiring large-scale computational resources. For larger systems, their approach can be used to provide accurate QAOA simulations at previously unexplored parameter values and to benchmark the next generation of experiments in the Noisy Intermediate-Scale Quantum (NISQ) era…read more. Open Access TECHNICAL ARTICLEÂ
Benchmarking with exact fidelities. Credit:Â npj Quantum Information volume 7, Article number: 101 (2021)Â