V. G. Malyshkin

activity

20242026

collaborators

5 papers

quant-ph2026

Superstate Quantum Mechanics

Mikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +3

We introduce Superstate Quantum Mechanics (SQM), a theory that considers states in Hilbert space subject to multiple quadratic constraints, with ``energy'' also expressed as a quad…

q-fin.CP2026

Trade Execution Flow as the Underlying Source of Market Dynamics

Mikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +3

In this work, we demonstrate experimentally that the execution flow, $I = d V / d t$ , is the fundamental driving force of market dynamics. We develop a numerical framework to calculate…

cs.LG2026

Semidefinite Programming for Quantum Channel Learning

Mikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +3

The problem of reconstructing a quantum channel from a sample of classical data is considered. When the total fidelity can be represented as a ratio of two quadratic forms (e.g., i…

cs.LG2025

Quantum Channel Learning

Mikhail Gennadievich Belov, Victor Victorovich Dubov, Alexey Vladimirovich Filimonov +1

The problem of an optimal mapping between Hilbert spaces $I N$ and $O U T$ , based on a series of density matrix mapping measurements $I ¨ ^{(l)} \to ϱ^{(l)}$ , $l = 1 \dots M$ , is for…

cs.LG2024

Partially Unitary Learning

Mikhail Gennadievich Belov, Vladislav Gennadievich Malyshkin

The problem of an optimal mapping between Hilbert spaces $I N$ of $I ¨ ⟩$ and $O U T$ of $I ¨ ⟩$ based on a set of wavefunction measurements (within a…