Abstract Analytic continuation from (3, 1) signature Minkowski to (2, 2) signature Klein space has emerged as a useful tool for the understanding of scattering amplitudes and flat space holography. Under this continuation, past and future null infinity merge into a single boundary ( ) which is the product of a null line with a (1, 1) signature torus. The Minkowskian -matrix continues to a Kleinian -vector which in turn may be represented by a Poincaré-invariant vacuum state in the Hilbert space built on . contains all information about in a novel, repackaged form. We give an explicit construction of in a Lorentz/conformal basis for a free massless scalar. separates into two halves which are the asymptotic null boundaries of the regions timelike and spacelike separated from the origin. is shown to be a maximally entangled state in the product of the Hilbert spaces.
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Learning quantum symmetries with interactive quantum-classical variational algorithms
Abstract A symmetry of a state is a unitary operator of which is an eigenvector. When is an unknown state supplied by a black-box oracle, the state’s symmetries provide key physical insight into the quantum system; symmetries also boost many crucial quantum learning techniques. In this paper, we develop a variational hybrid quantum–classical learning scheme to systematically probe for symmetries of with noa prioriassumptions about the state. This procedure can be used to learn various symmetries at the same time. In order to avoid re-learning already known symmetries, we introduce an interactive protocol with a classical deep neural net. The classical net thereby regularizes against repetitive findings and allows our algorithm to terminate empirically with all possible symmetries found. An iteration of the learning algorithm can be implemented efficiently with non-local SWAP gates; we also give a less efficient algorithm with only local operations, which may be more appropriate for current noisy quantum devices. We simulate our algorithm on representative families of states, including cluster states and ground states of Rydberg and Ising Hamiltonians. We also find that the numerical query complexity scales well for up to moderate system sizes.
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- Award ID(s):
- 2207972
- PAR ID:
- 10533930
- Publisher / Repository:
- IOP
- Date Published:
- Journal Name:
- Journal of Physics A: Mathematical and Theoretical
- Volume:
- 57
- Issue:
- 31
- ISSN:
- 1751-8113
- Page Range / eLocation ID:
- 315304
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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