Dynamical Purification Phase Transition Induced by Quantum Measurements

By Michael J. Gullans, D. Huse. Physical Review X, 2019

439 citations recorded by the source corpus.

Continuously monitoring the environment of a quantum many-body system reduces the entropy of (purifies) the reduced density matrix of the system, conditional on the outcomes of the measurements. We show that, for mixed initial states, a balanced competition between measurements and entangling interactions within the system can result in a dynamical purification phase transition between (i) a phase that locally purifies at a constant system-size-independent rate, and (ii) a "mixed" phase where the purification time diverges exponentially in the system size. The residual entropy density in the mixed phase implies the existence of a quantum error-protected subspace where quantum information can be reliably hidden from the measurements. We show that these codes are of potential relevance to fault-tolerant quantum computation as they satisfy optimal tradeoffs between encoded information densities and error thresholds. In spatially local models in 1 + 1 dimensions, this phase transition for mixed initial states occurs concurrently with a recently identified class of entanglement phase transitions for pure initial states. We numerically explore this transition for random quantum circuits in 1+1 dimensions and all-to-all models. Unlike for pure initial states, the mutual information of an initially completely-mixed state grows at most logarithmically in time. The purification transition studied here naturally generalizes to systems with long-range interactions where conventional notions of entanglement transitions have to be reformulated. Purification dynamics may also be more robust in experiments, where imperfections generically reduce entanglement and drive the system towards mixed states. We describe the motivations for studying this novel class of non-equilibrium quantum dynamics in the context of advanced quantum computing platforms and fault-tolerant quantum computation.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/8707999fe236c12b7751ad1d83bdaa5cf1972b97

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In Artificial Intelligence

  1. A. Nahum
  2. Matthew Fisher
  3. V. Khemani
  4. B. Skinner
  5. S. Vijay
  6. D. Huse
  7. J. Ruhman
  8. Tianci Zhou

In Atomic and Molecular Physics, and Optics

  1. A. Nahum
  2. Matthew Fisher
  3. V. Khemani
  4. D. Huse
  5. Tianci Zhou
  6. B. Skinner
  7. S. Vijay
  8. J. Ruhman

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