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Practical distributed quantum information processing with LOCCNet
Here we introduce LOCCNet, a machine learning framework facilitating protocol design and optimization for distributed quantum information processing tasks.
Analog information decoding of bosonic quantum LDPC codes
Two promising features of bosonic codes are that syndrome measurements are natively analog and that they can be concatenated with discrete-variable codes.
Quantum Physics Information Theory Information Theory
Quantum information with continuous variables
We review the progress in quantum information based on continuous quantum variables, with emphasis on quantum optical implementations in terms of the quadrature amplitudes of the electromagnetic field.
Quantum Physics
Universal programmable photonic architecture for quantum information processing
We present a photonic integrated circuit architecture for a quantum programmable gate array (QPGA) capable of preparing arbitrary quantum states and operators.
Quantum Physics Optics
QuantumInformation.jl---a Julia package for numerical computation in quantum information theory
There already exists a wide range of computational tools for quantum information theory implemented in various programming languages.
Quantum Physics
Physics-informed active learning for accelerating quantum chemical simulations
Quantum chemical simulations can be greatly accelerated by constructing machine learning potentials, which is often done using active learning (AL).
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
With the aim of addressing such intractabilities, we introduce a generalization of quantum natural gradient descent to parameterized mixed states, as well as provide a robust first-order approximating algorithm, Quantum-Probabilistic Mirror Descent.
Quantum Physics
Semidefinite programming relaxations for quantum correlations
Semidefinite programs are convex optimisation problems involving a linear objective function and a domain of positive semidefinite matrices.
Quantum Physics
Singular value decomposition and matrix reorderings in quantum information theory
We review Schmidt and Kraus decompositions in the form of singular value decomposition using operations of reshaping, vectorization and reshuffling.
Quantum Physics Computational Physics
QICS: Quantum Information Conic Solver
We introduce QICS (Quantum Information Conic Solver), an open-source primal-dual interior point solver fully implemented in Python, which is focused on solving optimization problems arising in quantum information theory.
Optimization and Control Quantum Physics
