Quantum Information and Physics

What do ideas about quantum information and computation tell us about physics, and vice versa?
Quantum information science makes use of ideas about information and computation, such as entanglement, nonlocality, entropy, quantum error correction, and computational complexity. These ideas are inspired by, and give new insight into, a variety of quantum mechanical phenomena that occur in diverse areas of physics. This leads to a better understanding of exotic materials, fundamental physics, and quantum technologies for tasks such as sensing, measurement, computation and communication.
Examples of QuICS research in this area include work on many-body and condensed matter physics, quantum sensing and metrology, quantum simulation, quantum thermodynamics, nuclear physics, and quantum gravity.
Related Publications
On stability of k-local quantum phases of matter
, , arXiv, (2024)Provably efficient machine learning for quantum many-body problems
, , Science, 377, (2022)Lieb-Robinson Light Cone for Power-Law Interactions
, , Physical Review Letters, 127, (2021)tran21bsupp.pdftran21b.pdfDynamical Purification Phase Transition Induced by Quantum Measurements
, , Physical Review X, 10, (2020)Negative Quasiprobabilities Enhance Phase Estimation in Quantum-Optics Experiment
, , Phys. Rev. Lett., 128, 220504, (2022)Using an Atom Interferometer to Infer Gravitational Entanglement Generation
, , Prx Quantum, 2, (2021)Heisenberg-Scaling Measurement Protocol for Analytic Functions with Quantum Sensor Networks
, , Physical Review A, 100, (2019)qian19.pdfQuantum Computation of Dynamical Quantum Phase Transitions and Entanglement Tomography in a Lattice Gauge Theory
, , PRX Quantum, 4, (2023)Measurement-induced quantum phases realized in a trapped-ion quantum computer
, , Nature Physics, 18, 760-764, (2022)Non-Abelian symmetry can increase entanglement entropy
, , Physical Review B, 107, (2023)Non-Abelian Eigenstate Thermalization Hypothesis
, , Physical Review Letters, 130, (2023)High-Energy Collision of Quarks and Mesons in the Schwinger Model: From Tensor Networks to Circuit QED
, , Phys. Rev. Lett., 132, (2024)PhysRevLett.132.091903.pdfsupp-3.pdfLinear growth of quantum circuit complexity
, , Nature Physics, 18, 528–532, (2022)