QVIDIA
QUANTUM_
Exploring the quantum computing stack.
Powered by curiosity. Grounded in source code.
A live public research interface for the NVIDIA quantum ecosystem. Inspect open-source signals, explore GPU ↔ QPU architectures, and execute real mathematical simulations in your browser.
> COMMAND_CENTER_
Run commands. Query documented technologies. Launch a quantum simulation. All instructions execute locally in your browser.
QVIDIA v0.3
> TELEMETRY_
Actual public repository metadata. Not NVIDIA GPU utilisation, QPU performance or proprietary system telemetry.
> GPU ↔ QPU_
// TECHNICAL ARCHITECTURE EXPLORER
Explore the technology stack that connects accelerated classical computing to emerging quantum workloads.
One model for many processors.
CUDA-Q is NVIDIA’s open-source platform for programming hybrid quantum–classical applications across CPUs, GPUs and QPUs.
> QUANTUM_LAB_
// BUILD A CIRCUIT. RUN THE MATH.
Configure quantum gates, calculate a statevector and measure sampled probabilities using a working JavaScript simulator.
circuit.qasm ▮
probability.out_
Run a circuit to calculate the theoretical statevector and sample measurements.
// AWAITING SIMULATION
READY TO COMPUTE LOCALLY> SOURCE_FILES_
// VERIFY THE CODE. FOLLOW THE DATA.
Documents, references and commit-level evidence. No manufactured hardware benchmarks or invented data feeds.
CUDA-Q
Open-source quantum programming platform for hybrid classical and quantum workloads.
cuQuantum
Accelerated simulation libraries for statevector and tensor-network computations.
NVQLink
Architecture connecting classical acceleration and quantum processors.
Recent public commits_
Repository commit activity reflects public software development. It is not a measure of quantum-hardware performance or utilization.