163 citations · 1k across the 41 of their papers we have counts for
11 papers · 1 filter
Stabilizing two-qubit entanglement by mimicking a squeezed environment
L. C. G. Govia, A. Lingenfelter, A. A. Clerk
It is well known that qubits immersed in a squeezed vacuum environment exhibit many exotic phenomena, including dissipative entanglement stabilization. Here, we show that these eff…
Miniaturizing transmon qubits using van der Waals materials
Abhinandan Antony, Martin V. Gustafsson, Guilhem J. Ribeill +8
Quantum computers can potentially achieve an exponential speedup versus classical computers on certain computational tasks, as recently demonstrated in systems of superconducting q…
Trade off-Free Entanglement Stabilization in a Superconducting Qutrit-Qubit System
Tristan Brown, Emery Doucet, Diego Ristè +7
Quantum reservoir engineering is a powerful framework for autonomous quantum state preparation and error correction. However, traditional approaches to reservoir engineering are hi…
Freedom of mixer rotation-axis improves performance in the quantum approximate optimization algorithm
L. C. G. Govia, C. Poole, M. Saffman +1
Variational quantum algorithms such as the quantum approximate optimization algorithm (QAOA) are particularly attractive candidates for implementation on near-term quantum processo…
Strong parametric dispersive shifts in a statically decoupled multi-qubit cavity QED system
T. Noh, Z. Xiao, K. Cicak +8
Cavity quantum electrodynamics (QED) with in-situ tunable interactions is important for developing novel systems for quantum simulation and computing. The ability to tune the dispe…
Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography
Kenneth Rudinger, Guilhem J. Ribeill, Luke C. G. Govia +6
Measurements that occur within the internal layers of a quantum circuit -- mid-circuit measurements -- are an important quantum computing primitive, most notably for quantum error…
Reservoir Computing with Superconducting Electronics
Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill +5
The rapidity and low power consumption of superconducting electronics makes them an ideal substrate for physical reservoir computing, which commandeers the computational power inhe…
Perturbative diagonalization for time-dependent strong interactions
Z. Xiao, E. Doucet, T. Noh +4
We present a systematic method to implement a perturbative Hamiltonian diagonalization based on the time-dependent Schrieffer-Wolff transformation. Applying our method to strong pa…
Deep Neural Network Discrimination of Multiplexed Superconducting Qubit States
Benjamin Lienhard, Antti Vepsäläinen, Luke C. G. Govia +15
Demonstrating a quantum computational advantage will require high-fidelity control and readout of multi-qubit systems. As system size increases, multiplexed qubit readout becomes a…
Symmetry-Aware Reservoir Computing
Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands +5
We demonstrate that matching the symmetry properties of a reservoir computer (RC) to the data being processed dramatically increases its processing power. We apply our method to th…
Neuromorphic computing with a single qudit
W. D. Kalfus, G. J. Ribeill, G. E. Rowlands +3
Accelerating computational tasks with quantum resources is a widely-pursued goal that is presently limited by the challenges associated with high-fidelity control of many-body quan…