8 citations · 16 across the 6 of their papers we have counts for
6 papers
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…
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, , is the fundamental driving force of market dynamics. We develop a numerical framework to calculate…
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…
Quantum Channel Learning
Mikhail Gennadievich Belov, Victor Victorovich Dubov, Alexey Vladimirovich Filimonov +1
The problem of an optimal mapping between Hilbert spaces and , based on a series of density matrix mapping measurements , , is form…
Partially Unitary Learning
Mikhail Gennadievich Belov, Vladislav Gennadievich Malyshkin
The problem of an optimal mapping between Hilbert spaces of and of based on a set of wavefunction measurements (within a ph…
Market Directional Information Derived From (Time, Execution Price, Shares Traded) Sequence of Transactions. On The Impact From The Future
Vladislav Gennadievich Malyshkin, Mikhail Gennadievich Belov
An attempt to obtain market directional information from non-stationary solution of the dynamic equation: "future price tends to the value maximizing the number of shares traded pe…