Jpmorgan Chase Bank, N.a.

Dylan Herman

Marco Pistoia

Alexander Buts

Shaohan Hu

Pierre Minssen

Romina Yalovetzky

Robert Matles

Matthew Liste

David A Carter

Apoorv Saxena

A system and a method for verifying a randomness of an intended random number is provided. The method includes: accessing the intended random number; converting the intended random number into a bitmap image; analyzing the bitmap image with reference to a predetermined model; and using a result of the analyzing to determine whether the intended random number is a true random number or a pseudorandom number. The analysis of the bitmap image may be performed by using a machine learning image classification technique with respect to a model that is trained by using white noise images.

Method and system for verification of random numbers

A method may include: a computer program populating a Hermitian matrix A with input data; calculating an upper bound a for a maximum eigenvalue for the Hermitian matrix A; initializing a time evolution value t=1/a; generating a first quantum computer program using the time evolution value t; communicating the first quantum computer program to a quantum computer; receiving a result including a binary value for each n-bit string and a probability for each binary value; converting each binary value into an integer; identifying a maximum absolute value of the integers; determining a value x for the maximum absolute value of all of the integers; updating the time evolution value t based on the value of x; generating a second quantum computer program using the updated time evolution value t; and communicating, by the classical computer program, the second quantum computer program to the quantum computer.

Systems and methods for optimization of time evolution for quantum computer-based eigenvalue estimation

Embodiments use quantum conditional logic in the Quantum Phase Estimation Algorithm (QPEA) to compute eigenvalues prior to inversion. Embodiments estimate the eigenvalues of a unitary, U=e, generated by a N×N Hermitian matrix Â. The binary representations of the n-bit estimations of eigenvalues of Â may be encoded in these states: |λ=|bb. . . b; λis an estimation of the i-th eigenvalue, excluding degeneracy, and .bb. . . bis its binary representation. To perform the eigenvalue inversion, an n-qubit controlled Ry rotation with angle λ/2conditioned on seeing |bb. . . bis applied for each possible n-bit binary string bb. . . b(2values). The overall unitary is called a 'uniformly controlled Ry rotation' in literature.

Systems and methods for enhanced eigenvalue inversion using quantum conditional logic

Systems and methods for zero-footprint and safe execution of quantum computing programs are disclosed. According to one embodiment, in an electronic device comprising at least one computer processor, a method for cloud-based execution of quantum-computing programs may include: (1) receiving, from a user interface on a client device, a serialized file comprising a domain, an application, and an algorithm; (2) receiving, from the user interface, problem data and an identification of a quantum computing backend for executing the problem data; (3) instantiating a quantum program for execution and communicating the quantum program and the problem data to the quantum computing backend for execution; (4) receiving, from the quantum computing backend, an output of the execution; and (5) communicating the output to the user interface on the client device.

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New York, NY, United States of America

Dylan Herman