Variational preparation of finite-temperature states on a quantum computer

no code implementations • 7 Dec 2020 • R. Sagastizabal, S. P. Premaratne, B. A. Klaver, M. A. Rol, V. Negîrneac, M. Moreira, X. Zou, S. Johri, N. Muthusubramanian, M. Beekman, C. Zachariadis, V. P. Ostroukh, N. Haider, A. Bruno, A. Y. Matsuura, L. DiCarlo

The preparation of thermal equilibrium states is important for the simulation of condensed-matter and cosmology systems using a quantum computer.

Quantum Physics

Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning

no code implementations • 15 Jun 2020 • Sahar Daraeizadeh, Shavindra P. Premaratne, A. Y. Matsuura

In this paper, we present a machine learning framework to design high-fidelity multi-qubit gates for quantum processors based on quantum dots in silicon, with qubits encoded in the spin of single electrons.

reinforcement-learning Reinforcement Learning (RL)