Chronological feed of everything captured from Aleksei Khindanov.
Non-unitary imaginary time evolution (ITE) offers advantages for preparing long-range correlated states. This study investigates the robustness of ITE protocols to environmental noise, finding that ground state order and phase transitions persist even with noise, provided the noise maintains the protecting symmetry. This has implications for quantum simulation on noisy quantum hardware.
This paper demonstrates the use of Minimally Entangled Typical Thermal States (METTS) approaches for simulating 1+1-dimensional Z2 lattice gauge theory at finite temperature and density. It benchmarks both classical matrix-product-state and adaptive variational quantum approaches. The research highlights the importance of basis choice in METTS for classical sampling complexity and quantum circuit complexity, paving the way for future strongly coupled gauge theory simulations on both classical and quantum hardware.
This paper introduces a novel measurement-induced phase transition that is experimentally observable, unlike previously discovered transitions requiring impractical full tomography. This new transition is characterized by either full quantum information recovery or complete corruption upon time-reversal of quantum dynamics. The transition manifests as distinct behaviors in the probability of repeated measurement outcomes: exponential decay on one side, and convergence to a constant on the other. Numerical simulations and analytical calculations using random-matrix theory confirm its existence.
This work introduces a quantum-classical embedding framework utilizing the ghost Gutzwiller approximation to simulate correlated electron systems. It addresses the challenge of limited quantum resources by mapping bulk systems to effective impurity models. The research evaluates circuit complexity, noise effects, and error mitigation strategies, demonstrating enhanced simulation capabilities for ground-state properties and spectral functions.
This paper introduces a heterogeneous quantum computing architecture that integrates task-specific hardware and quantum error correction (QEC) encoding. This approach unifies bottom-up physical device challenges with top-down QEC considerations, enabling special-purpose processing modules and a full microarchitecture for fault-tolerant interfaces. By using a new compiler across subsystems, the proposed architecture significantly reduces logical error and physical qubit overhead compared to monolithic designs.