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THE QUBITWIRE FIELD GUIDE

Hybrid quantum computing

Where quantum processors fit alongside CPUs, GPUs and supercomputers.

A clear starting point

A hybrid workflow combines classical processing with quantum operations. Classical machines prepare jobs, optimize parameters and interpret measurements, while the quantum processor performs a particular part of the calculation.

The relevant measure is the end-to-end workload. Shorter circuits or faster hardware can help, but data movement, queueing, sampling and classical processing can change the overall result.

AWS: Amazon Braket developer guide

Latest coverage

FROM THE IDEA TO THE ORGANIZATIONS

Who is working on it

Software & applications

Amazon Braket

Provides a common access layer for supported processors, classical simulators and jobs combining quantum tasks with classical computing.

Research & evidence →
Software & applications

Azure Quantum

Helps developers write quantum programs, submit supported workloads to cloud providers and explore the resources future error-corrected machines would need.

Research & evidence →
Computing hardware

D-Wave Quantum

Programs an energy landscape and samples candidate solutions with superconducting flux qubits. Leap also offers solvers that combine classical processing with quantum annealing.

Research & evidence →
Computing hardware

IBM Quantum

Combines programmable quantum processors with Qiskit tools, cloud job execution and device calibration records, giving developers a route from circuit design to experiments on hardware.

Research & evidence →
Software & applications

NVIDIA CUDA-Q

Lets developers express quantum routines and combine them with classical computing, then select a simulator or supported quantum-hardware backend.

Research & evidence →
Software & applications

Phasecraft

Designs circuits and quantum algorithms for interacting-electron models and materials research. Its public database helps readers inspect estimated qubit and circuit-depth requirements for candidate materials.

Research & evidence →

Selected organizations relevant to this topic. Inclusion is not a ranking.

Watch & understand

Qiskit · Aug 18, 2026

Quantum Algorithms Pt. 4 Optimization | Sabina Dragoi |QGSS26

Sabina Dragoi follows a quantum optimization problem from its mathematical formulation to execution on hardware. The lecture explains how problem encoding, useful starting points and circuit compilation affect results, then introduces QOBLIB as a way to compare progress. A practical guide to assessing quantum solvers, with future advantage presented as a goal.

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Qiskit · Aug 12, 2026

VQE: Finding Ground State Energy on a Real Quantum Computer

Katie McCormick explains the variational quantum eigensolver through a small hydrogen-energy calculation. Follow how a trial quantum circuit, measurements and a classical optimizer work together, then explore the accompanying IBM lesson to try the workflow. An accessible technical example of hybrid computing, with a small teaching problem rather than a claim of quantum advantage.

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