Quantum-controlled synthetic materials
Andrei Vrajitoarea, Gabrielle Roberts, Kaden R. A. Hazzard, Jonathan Simon, David I. Schuster
TL;DR
The work addresses interfacing digital quantum control with an analog quantum material to steer complex many-body dynamics. It implements a 1D Bose-Hubbard circuit of superconducting transmons with an ancilla qubit that conditions transport on lattice occupancy, effectively acting as a quantum-controlled photonic transistor. The authors demonstrate solid+fluid joint states and a long-range entangled N00N cat state via adiabatic disorder control and ancilla-conditioned transport, verified by many-body Ramsey interferometry and protected by a many-body echo. This hybrid approach points to practical quantum advantage in sensing and materials characterization by bridging quantum computers with quantum matter.
Abstract
Analog quantum simulators and digital quantum computers are two distinct paradigms driving near-term applications in modern quantum science, from probing many-body phenomena to identifying computational advantage over classical systems. A transformative opportunity on the horizon is merging the high-fidelity many-body evolution in analog simulators with the robust control and measurement of digital machines. Such a hybrid platform would unlock new capabilities in state preparation, characterization and dynamical control. Here, we embed digital quantum control in the analog evolution of a synthetic quantum material by entangling the lattice potential landscape of a Bose-Hubbard circuit with an ancilla qubit. This Hamiltonian-level control induces dynamics under a superposition of different lattice configurations and guides the many-body system to novel strongly-correlated states where different phases of matter coexist -- ordering photons into superpositions of solid and fluid eigenstates. Leveraging hybrid control modalities, we adiabatically introduce disorder to localize the photons into an entangled cat state and enhance its coherence using a many-body echo technique. This work illustrates the potential for entangling quantum computers with quantum matter -- synthetic and solid-state -- for advantage in sensing and materials characterization.
