Abstract: A computing entity generates a data instance comprising a plurality of data fields; and protects a data field value using a post quantum cryptography (PQC) cryptographic technique to generate protected text for the data field value. Protecting the data field value comprises at least one of (a) encrypting the data field value, (b) tokenizing the data field value, or (c) electronically signing the data field value. The computing entity updates the data instance to remove a plaintext version of the data field value from the data field of the plurality of data fields and to include the protected text in the data field; updates an annotation corresponding to the data instance to indicate (a) that the data field is protected and (b) the PQC cryptographic technique used to protect the data field; and provides the data instance to be stored by a data repository.

Abstract: 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.

Abstract: 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.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for quantum entanglement authentication (QEA). An example method includes generating, at a second computing device, a second number based on a subset of a second set of entangled quantum particles associated with the second computing device. Each entangled quantum particle in the second set of entangled quantum particles may be entangled with a respective entangled quantum particle in a second set of entangled quantum particles associated with a second computing device. The example method further includes transmitting the second number to a first computing device. In some instances, the example method may further include authenticating a session between the first computing device and the second computing device in an instance in which the second number corresponds, or is identical, to a first number.

Abstract: 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.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example system includes a PQC smartcard. The smartcard may include a PQC cryptographic algorithm selection circuitry configured to select a PQC cryptographic technique from a set of PQC cryptographic techniques for encrypting the data. The smartcard may further include a PQC cryptographic circuitry configured to encrypt data based on a generated set of PQC encryption attributes and the PQC cryptographic technique.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for quantum entanglement authentication (QEA). An example method includes generating, at a second computing device, a second number based on a subset of a second set of entangled quantum particles associated with the second computing device. Each entangled quantum particle in the second set of entangled quantum particles may be entangled with a respective entangled quantum particle in a second set of entangled quantum particles associated with a second computing device. The example method further includes transmitting the second number to a first computing device. In some instances, the example method may further include authenticating a session between the first computing device and the second computing device in an instance in which the second number corresponds, or is identical, to a first number.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for PQC. An example method includes transmitting a first portion of an electronic communication to a client device over a non-PQC communications channel, wherein the client device comprises a PQC shim circuitry. The example method further includes transmitting one or more communications between a PQC callback circuitry and the client device over a PQC communications channel, wherein the client device is a non-PQC device. The example method further includes transmitting a second portion of the electronic communication to the client device over a PQC communications channel.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for quantum entanglement random number generation (QERNG). An example method for QERNG includes, among other operations, receiving a quantum computing (QC) detection alert control signal, a leakage alert control signal, or a tampering alert control signal; and in response to receipt of the QC detection alert control signal, the leakage alert control signal, or the tampering alert control signal, and within a defined duration of time corresponding to an associated QC threat, measuring at least a subset of a first set of entangled quantum particles, wherein one or more quantum particles in the first set of quantum particles is entangled with a respective quantum particle in a second set of quantum particles associated with a second computing system.

Abstract: 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.