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.

Recent examples of QuICS research in this area include work on many-body and condensed matter physics [A1-A4], quantum sensing and metrology [B1-B3], quantum simulation [C1-C2], quantum thermodynamics [D1-D2], nuclear physics [E1], and quantum gravity [F1].

References:

A.

  1. “On stability of k-local quantum phases of matter,” https://arxiv.org/pdf/2405.19412 
  2. “Provably efficient machine learning for quantum many-body problems,” https://www.science.org/doi/abs/10.1126/science.abk3333 
  3. “Lieb-Robinson light cone for power-law interactions,” https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.160401 
  4. “Dynamical purification phase transition induced by quantum measurements,” https://journals.aps.org/prx/abstract/10.1103/PhysRevX.10.041020 

B.

  1. “Negative Quasiprobabilities Enhance Phase Estimation in Quantum-Optics Experiment,” https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.128.220504 
  2. “Using an Atom Interferometer to Infer Gravitational Entanglement Generation,” https://link.aps.org/doi/10.1103/PRXQuantum.2.030330 
  3. “Heisenberg-scaling measurement protocol for analytic functions with quantum sensor networks,” https://journals.aps.org/pra/abstract/10.1103/PhysRevA.100.042304 

C.

  1. “Quantum computation of dynamical quantum phase transitions and entanglement tomography in a lattice gauge theory,” https://link.aps.org/doi/10.1103/PRXQuantum.4.030323 
  2. “Measurement-induced quantum phases realized in a trapped-ion quantum computer” (with Duke University), https://www.nature.com/articles/s41567-022-01619-7 

D.

  1. “Non-Abelian symmetry can increase entanglement entropy,” https://journals.aps.org/prb/abstract/10.1103/PhysRevB.107.045102 
  2. “Non-Abelian eigenstate thermalization hypothesis,” https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.140402 

E.

  1. “High-energy collision of quarks and mesons in the Schwinger model: From tensor networks to circuit QED,” https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.132.091903 

F.

  1. “Linear growth of quantum circuit complexity,” https://www.nature.com/articles/s41567-022-01539-6 
Groups
QuICS