Techniques regarding the development and/or analysis of one or more quantum computing programs are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a circuit component, operatively coupled to the processor, that can create a quantum computing program over a period of time. The computer executable components can also comprise a visualization component, operatively coupled to the processor, that can generates a quantum state visualization that depicts a characterization of the quantum computing program over the period of time.

Embodiments are provided to simulate a quantum circuit. A system receives a quantum circuit (or its representation), generates a graph, and adds edges for each n-qubit of fusion to be applied. Costs are estimated or calculated for various paths of gate fusion between endpoints in the graph. One or more paths are selected, for example, the lowest cost path based on a Dijkstra algorithm evaluation. A unitary matrix for each gate fusion is then generated for simulating the quantum circuit. A simulation is performed locally or remotely based on the gate fusions along the selected one or more paths, and thus, improving the memory and processor performance of the simulation.

Embodiments are provided to simulate a quantum circuit. A system receives a quantum circuit (or its representation), generates a graph, and adds edges for each n-qubit of fusion to be applied. Costs are estimated or calculated for various paths of gate fusion between endpoints in the graph. One or more paths are selected, for example, the lowest cost path based on a Dijkstra algorithm evaluation. A unitary matrix for each gate fusion is then generated for simulating the quantum circuit. A simulation is performed locally or remotely based on the gate fusions along the selected one or more paths, and thus, improving the memory and processor performance of the simulation.

Example implementations involve systems and methods which can involve storing interface (I/F) communication activity records of a plurality of simulation engines during execution of a co-simulation, and for a subsequent execution of the co-simulation, replacing one or more of the plurality of simulation engines with a simulation engine repeater configured to reproduce I/F communication activity from the stored I/F communication activity records corresponding to the replaced one or more of the plurality of simulation engines during the subsequent execution of the co-simulation and to log a real time consumed for execution of the reproduced I/F communication activity in the subsequent execution and a simulation time consumed for execution of the reproduced I/F communication activity for each simulation step, the real time determined based on a real time difference between a start of each simulation step and completion of synchronization with a co-simulator bus at an end of each simulation step.

A method of operation of a computing system includes: providing a first cluster having a first kernel unit for managing a first reconfigurable hardware device; analyzing an application descriptor associated with an application; generating a first bitstream based on the application descriptor for loading the first reconfigurable hardware device, the first bitstream for implementing at least a first portion of the application; and implementing a first fragment with the first bitstream in the first cluster.

Predicting power usage of a chip may include receiving placement data describing a placement, within the chip, of a plurality of logical components of the chip; providing the placement data as an input to a neural network; and determining, by the neural network, based on the placement data, a predicted power usage of the chip.

Robotic visualization systems and methods include running and analyzing perception algorithms and models for robotic visualization systems on multiple computing platforms to obtain a successful complete an object processing request.

Robotic visualization systems and methods include running and analyzing perception algorithms and models for robotic visualization systems on multiple computing platforms to obtain a successful complete an object processing request.

The invention relates to methods of simulation of a plurality of processors running on a plurality of cores, to multi-core microprocessor systems in which such methods may be carried out, and to computer program products configured to perform a simulation of a plurality of processors, running on a plurality of cores. According to a first aspect of the invention, there is provided a method of running a plurality of simulated processors on a plurality of cores, in which simulation of the processors is performed in parallel on the plurality of cores.

The invention relates to methods of simulation of a plurality of processors running on a plurality of cores, to multi-core microprocessor systems in which such methods may be carried out, and to computer program products configured to perform a simulation of a plurality of processors, running on a plurality of cores. According to a first aspect of the invention, there is provided a method of running a plurality of simulated processors on a plurality of cores, in which simulation of the processors is performed in parallel on the plurality of cores.