7.2k citations · 18.6k across the 78 of their papers we have counts for
6 papers · 1 filter
Fluctuations of Energy-Relaxation Times in Superconducting Qubits
P. V. Klimov, J. Kelly, Z. Chen +30
Superconducting qubits are an attractive platform for quantum computing since they have demonstrated high-fidelity quantum gates and extensibility to modest system sizes. Nonethele…
Efficient population transfer via non-ergodic extended states in quantum spin glass
Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean +6
We analyze a new computational role of coherent multi-qubit quantum tunneling that gives rise to bands of non-ergodic extended (NEE) quantum states each formed by a superposition o…
Universal Quantum Control through Deep Reinforcement Learning
Murphy Yuezhen Niu, Sergio Boixo, Vadim Smelyanskiy +1
Emerging reinforcement learning techniques using deep neural networks have shown great promise in control optimization. They harness non-local regularities of noisy control traject…
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy +2
Many experimental proposals for noisy intermediate scale quantum devices involve training a parameterized quantum circuit with a classical optimization loop. Such hybrid quantum-cl…
Non-ergodic delocalized states for efficient population transfer within a narrow band of the energy landscape
Vadim N. Smelyanskiy, Konstyantyn Kechedzhi, Sergio Boixo +3
We analyze the role of coherent tunneling that gives rise to bands of delocalized quantum states providing a coherent pathway for population transfer (PT) between computational sta…
Simulation of low-depth quantum circuits as complex undirected graphical models
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy +1
Near term quantum computers with a high quantity (around 50) and quality (around 0.995 fidelity for two-qubit gates) of qubits will approximately sample from certain probability di…