Wells Fargo Bank, N.a.

Michael Erik Meinholz

Pierre Arbajian

Bradford A Shea

Peter Bordow

Robert L Carter, Jr

Abhijit Rao

Jeffrey J Stapleton

Andrew J Garner, Iv

Ramanathan Ramanathan

Ramesh Yarlagadda

Ravi K Maganti

Adam M Sanders

Jeff J Stapleton

Omar B Khan

Pierre Arbadjian

Brad A Shea

William E Goff

Systems, apparatuses, and methods are disclosed for quantum entanglement authentication. An example method performed by a first device includes receiving a first electronic identification of a first subset of a first set of entangled quantum particles and a first number generated based on a second subset of the first set of entangled quantum particles associated with a second device, generating a second number based on the first subset of the first set of entangled quantum particles, generating a first session key based on the first number and the second number, receiving, from the second device, an electronic communication comprising a second session key, the second session key based on a third number and a fourth number, and authenticating a session between the first device and the second device based on the first session key being identical to the second session key.

Systems and methods for quantum consensus

Systems, methods, and computer program products are provided for disparate quantum computing (QC) detection. An example system includes QC detection data generation circuitry configured to generate a set of QC detection data. The example system further includes cryptographic circuitry configured to distort the set of QC detection data via a first PQC cryptographic technique, generate a pair of asymmetric cryptographic keys comprising a public cryptographic key and a private cryptographic key via a second PQC cryptographic technique, generate encrypted QC detection data from the distorted set of QC detection data based on the pair of asymmetric cryptographic keys, and destroy the private cryptographic key. The example system further includes data monitoring circuitry configured to monitor a set of data environments for electronic information related to the encrypted QC detection data.

Systems and methods for disparate quantum computing threat detection

Various systems and methods are provided for quantum computing based optimization of a personalized portfolio. One exemplary method may comprise identifying one or more filtered personalized portfolio optimization factor data based on one or more optimization factor data for the personalized portfolio, personalized portfolio owner feedback, QC algorithms, and algorithm performance information, selecting one QC algorithm for each filtered portfolio optimization factor data of the one or more filtered portfolio optimization factor data, utilizing the selected QC algorithm to optimize a personalized portfolio determination for each identified filtered personalized portfolio optimization factor data, and rebalancing the personalized portfolio based on the personalized portfolio determination.

Systems and methods for quantum based optimization of a personalized portfolio

A computing entity accesses one or more blocks of a blockchain, encrypts the content of the one or more blocks using a first cryptographic technique to generate one or more first encrypted block values, and writes a first side chain block comprising the one or more first encrypted block values and a first signature to a first side chain. The computing entity accesses at least one of (a) at least one block of a particular second set of one or more second sets of the plurality of blocks or (b) one or more first side chain blocks corresponding to blocks of the second set, encrypts the content of the accessed block(s) using a second cryptographic technique to generate at least one second encrypted block value, and writes a second side chain block comprising the at least one second encrypted block value and a second signature to a second side chain.

Post-quantum cryptography side chain

Systems, apparatuses, methods, and computer program products are disclosed for hardware-level encryption by generating and using a quantum obfuscation map (QOM). An example method includes generating one or more quantum obfuscation elements (QOEs) based on a one or more quantum particles and generating the QOM based on the one or more QOEs. The example method further includes receiving an indication of an instance of information/data and determining a location within a memory or a disk storage for each section in a plurality of sections corresponding to the instance of information/data based on the generated QOM.

Quantum phenomenon-based obfuscation of memory

Systems, methods, and computer program products are provided for quantum computing (QC) detection. An example QC detection system includes QC detection data generation circuitry that generates QC detection data. The QC detection system also includes cryptographic circuitry that distorts the QC detection data via a first post-quantum cryptographic (PQC) technique and generates a pair of asymmetric cryptographic keys including a public cryptographic key and a private cryptographic key. The cryptographic circuitry further generates encrypted QC detection data based on the pair of asymmetric cryptographic keys and destroys the private cryptographic key. The QC detection system further includes data monitoring circuitry that monitors a set of data environments for electronic information related to the encrypted QC detection data.

Systems and methods for quantum computing threat detection

Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes receiving data. The example method further includes receiving a set of data attributes about the data. The set of data attributes comprises one or more sets of data environment data attributes that are each representative of a set of data environments associated with the data. The example method further includes receiving one or more sets of data environment threat data structures associated with one or more data environments in the one or more sets of data environments associated with the data. The example method further includes selecting one or more cryptographic techniques for encrypting the data for at least the one or more data environments based on the set of data attributes, the one or more sets of data environment threat data structures, and a cryptograph optimization machine learning model.

Systems and methods for post-quantum cryptography optimization

Systems, apparatuses, methods, and computer program products are disclosed for gathering performance information for post-quantum cryptography (PQC) is provided. An example method includes generating, by a quantum computing (QC) detection data generation circuitry, QC detection data and encrypting, by a PQC cryptographic circuitry and by a first neural network, the QC detection data based on a PQC technique, where the first neural network is trained to encrypt the QC detection data using the PQC technique. The example method further includes decrypting, by a PQC decryption circuitry and by a second neural network, the encrypted QC detection data wherein the second neural network is trained to decrypt data, and storing encryption metadata and decryption metadata as PQC cryptographic performance information associated with the PQC technique.

An encrypting entity encrypts an instance of data using a cryptographic key and a cryptographic technique to generate the encrypted data instance; generates a decryption application based on the cryptographic key and at least one credential, the decryption application configured to decrypt the encrypted data instance; bundles the encrypted data instance and the decryption application to generate an encryption bundle; and provides the encryption bundle to be stored by an external data repository. In an example embodiment, the cryptographic technique is a post-quantum cryptographic technique.

Self-contained encrypted data and decryption application for third party data storage and data dissemination

Systems, apparatuses, methods, and computer program products are disclosed for hardware-level encryption. An example method includes receiving an instance of information/data by processing circuitry; and disassembling, by the processing circuitry, the instance of information/data into a plurality of sections. The processing circuitry assigns each section of the plurality of sections a location in an allocated portion of memory. The locations are determined based at least in part on a quantum obfuscation map (QOM). The QOM is generated based on one or more quantum obfuscation elements (QOEs) corresponding to a quantum state of a quantum particle. The processing circuitry then causes each of the plurality of sections to be stored at the corresponding assigned location in the allocated portion of the memory.

Systems, methods, and computer program products are provided for disparate quantum computing (QC) detection. An example system includes QC detection data generation circuitry that generates a first set of QC detection data and generates a second set of QC detection data. The system also includes cryptographic circuitry that generates a first public cryptographic key and a first private cryptographic key via a first post-quantum cryptographic (PQC) technique and generates a second public cryptographic key and a second private cryptographic key via a second PQC technique. The cryptographic circuitry further generates encrypted first QC detection, second QC detection data, and destroys the first private cryptographic key and the second private cryptographic key. The system further includes data monitoring circuitry that monitors for the first encrypted QC detection data and the second encrypted QC detection data.

Systems, apparatuses, methods, and computer program products are disclosed for gathering performance information for post-quantum cryptography (PQC) is provided. An example method includes generating, by a QC detection data generation circuitry, QC detection data. The example method further includes encrypting, by a PQC cryptographic circuitry, the QC detection data based on a PQC cryptographic technique The example method further includes decrypting, by a PQC decryption circuitry, the QC detection data. The example method further includes storing, by a PQC cryptographic performance circuitry, encryption metadata generated by the PQC cryptographic circuitry and decryption metadata generated by the PQC decryption circuitry as PQC cryptographic performance information associated with the PQC cryptographic technique.

Systems, apparatuses, and methods are disclosed for quantum entanglement authentication (QEA). An example method includes transmitting a first number and a first electronic identification of a first set of entangled quantum particles to a first computing device, each entangled quantum particle in the first set of entangled quantum particles is entangled with a respective entangled quantum particle in a second set of entangled quantum particles, receiving from the first computing device, a first session key, the first session key being a function of the first number and a second number provided to the first computing device in response to a first measurement initiation control signal comprising the first electronic identification of a first subset of the first set of entangled quantum particles, and in an instance in which the first session key corresponds to a second session key, authenticating a session between the first computing device.

Systems, apparatuses, methods, and computer program products are disclosed for quantum computing (QC) detection. An example method includes generating QC detection data. The example method further includes generating a pair of asymmetric cryptographic keys comprising a public cryptographic key and a private cryptographic key, generating encrypted QC detection data based on the pair of asymmetric cryptographic keys, and destroying the private cryptographic key. The example method further includes monitoring a set of data environments for electronic information related to the encrypted QC detection data. Subsequently, the example method may include generating a QC detection alert control signal in response to detection of the electronic information related to the encrypted QC detection data.

Growing community of inventors

Charlotte, NC, United States of America

Michael Erik Meinholz