Systems and methods for pixel-based quantum state visualization are disclosed. In one embodiment, a computer-based method for generating a visualization of a quantum state may include: (1) receiving, at a computer program executed by a computer processor, quantum input data comprising a plurality of outcomes for a quantum state, each outcome having a phase and a magnitude; (2) for each outcome, translating, by the computer program, the outcome into a pixel having a hue based on the phase and an intensity based on the magnitude; (3) plotting, by the computer program, the pixel on a pixel graph; and (4) outputting, by the computer program, the pixel graph to an output device.

Methods, systems, and apparatus for root cause analysis in a communication network. In one aspect, a method includes providing a quantum computer with data representing a topology of the communication network, the topology comprising a graph of vertices representing network devices and edges representing connections between network devices; receiving, from the quantum computer, data representing a first subset of network devices, wherein the first subset comprises a dominating set of vertices or a vertex cover for the graph; monitoring network devices in the first subset to generate alarm data representing triggered network device alarms; providing the alarm data to a quantum computer; receiving, from the quantum computer, data representing a second subset of network devices, wherein the second subset comprises a set cover for the alarm data and the network devices in the second subset comprise diagnosed sources of failures in the communication network.

Migration of quantum services from quantum computing devices to quantum simulators is disclosed herein. In one example, a quantum computing device executes a migration service that receives a system stress indicator from a system monitor that tracks a status of the quantum computing device and/or a status of qubits maintained by the quantum computing device. The migration service determines, based on the system stress indicator, that a quantum service running on the quantum computing device is to be migrated. Upon determining that the quantum service is to be migrated, the migration service retrieves a QASM file that contains quantum programming instructions defining the quantum service. The QASM file is then transmitted to a quantum simulator running on a classical computing device for failover execution. In some examples, the classical computing device then executes a simulated quantum service within the quantum simulator based on the QASM file.

Simulating operating conditions for quantum computing devices is disclosed. In one example, a processor device of a staging computing device (i.e., a classical non-quantum computing device) receives an operating parameter from a quantum computing device, wherein the operating parameter represents an operating condition of the quantum computing device. The processor device also receives a quantum service definition that defines a quantum service. A quantum simulator of the processor device accesses the quantum service definition, simulates the operating condition of the quantum computing device based on the operating parameter, and then executes the quantum service under the simulated operating condition based on the quantum service definition.

A method of performing computation using a hybrid quantum-classical computing system comprising a classical computer, a system controller, and a quantum processor includes identifying, by use of the classical computer, a molecular dynamics system to be simulated, computing, by use of the classical computer, multiple energies associated with particles of the molecular dynamics system as part of the simulation, based on the Ewald summation method, the computing of the multiple energies comprising partially offloading the computing of the multiple energies to the quantum processor, and outputting, by use of the classical computer, a physical behavior of the molecular dynamics system determined from the computed multiple energies.

A method of performing computation using a hybrid quantum-classical computing system comprising a classical computer, a system controller, and a quantum processor includes identifying, by use of the classical computer, a molecular dynamics system to be simulated, computing, by use of the classical computer, multiple energies associated with particles of the molecular dynamics system as part of the simulation, based on the Ewald summation method, the computing of the multiple energies comprising partially offloading the computing of the multiple energies to the quantum processor, and outputting, by use of the classical computer, a physical behavior of the molecular dynamics system determined from the computed multiple energies.

A computer-implemented method of selecting a power-optimal compression scheme for transmitting digital control signals from a classical interface of a quantum computer to a quantum processing unit (QPU) of the quantum computer is disclosed. The method involves receiving static and dynamic power consumption values associated with operations performable by the QPU; determining compression schemes implementable by the QPU; calculating total power consumption values associated with receiving and decompressing a representative control signal at the QPU using the compression schemes; and selecting the compression scheme having the lowest total power consumption value. A corresponding method for transmitting control signals from a classical interface of the quantum computer to the QPU is also disclosed in which a compressed control signal is transmitted from the classical interface to the QPU with one or more delays.

A system for performing dynamic exposure analysis typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The classical computer apparatus is configured for gathering data from one or more data sources, processing the gathered data, via an artificial intelligence engine, to determine a change to an exposure rating, converting the gathered data into at least one matrix, converting the at least one matrix to at least one Qubit sequence, and transmitting the at least one Qubit sequence to a quantum optimizer. The quantum optimizer upon receiving the at least Qubit sequence, generates at least one random number based on one or more parameters stored in a configuration repository, computes the at least one Qubit sequence and the at least one random number to generate a real-time exposure rating, and transmits the real-time exposure rating to exposure analysis application.

A method, product and apparatus for efficient execution of a quantum program. The method comprises: determining a target qubit of a quantum program and a target cycle, wherein the quantum program is configured to manipulate a set of qubits, including the target qubit, using a set of quantum gates, wherein the quantum program is defined to use a predetermined number of gates; performing an impact analysis of the quantum program with respect to a value of the target qubit at the target cycle to identify a gate that does not impact the value of the target qubit at the target cycle; modifying the quantum program based on the impact analysis by removing the gate, whereby determining a modified quantum program, wherein the modified quantum program is defined to use a number of gates that is smaller than the predetermined number of gates; and executing the modified quantum program.

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.