A multilevel tensor-network technique compresses Lindblad dynamics of interacting bosonic modes by combining global purification, entanglement compression, and quantics Fock representation, demonstrated on cat qubits and transmon ionization.
Enabling large-depth simulation of noisy quantum cir- 10 cuits with positive tensor networks
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A new modeling framework represents pulsed polariton waveguide dynamics as a dissipative bosonic quantum circuit to predict antibunching and sub-Poissonian statistics in single and multimode integrated circuit configurations.
A two-level low-rank method using tall-skinny factorization plus tensor-train compression enables completely positive trace-preserving integration of the Lindblad equation for systems with up to 10^19 degrees of freedom.
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A multilevel tensor network compression technique for simulating Lindblad dynamics in superconducting circuits
A multilevel tensor-network technique compresses Lindblad dynamics of interacting bosonic modes by combining global purification, entanglement compression, and quantics Fock representation, demonstrated on cat qubits and transmon ionization.
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Modeling the Quantum Photon Statistics in Hybrid Light-Matter Integrated Circuits
A new modeling framework represents pulsed polariton waveguide dynamics as a dissipative bosonic quantum circuit to predict antibunching and sub-Poissonian statistics in single and multimode integrated circuit configurations.
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Completely Positive and Trace Preserving Schemes with Tensor Train Compression for the Lindblad Equation
A two-level low-rank method using tall-skinny factorization plus tensor-train compression enables completely positive trace-preserving integration of the Lindblad equation for systems with up to 10^19 degrees of freedom.