Group notebooks, datasets, circuits, Hamiltonians, tags, quotas, and collaborators under one durable research workspace.
Start from curated environments for Cirq + qsim, quimb + cotengra, TeNPy, QuTiP, PySCF, and NetKet.
Prototype in Jupyter, then dispatch the same code as queued Jobs, arrays, or campaign sweeps.
Store engine versions, resources, input files, result schemas, logs, costs, and run history with every Job.
Gate-based circuit simulation with Cirq and the qsim statevector engine: amplitudes, sampling, expectation values, and parameter sweeps that fan out as parallel Jobs.
DMRG ground states and TEBD/TDVP time evolution with TeNPy, tensor-network contraction with quimb + cotengra, neural-network quantum states with NetKet, and open-system dynamics with QuTiP.
Mean-field / Hartree-Fock chemistry with PySCF on CPU, with optional GPU acceleration through gpu4pyscf under your own NVIDIA license.
project: spin-chain-dynamics
engine: TeNPy · TEBD
queue: batch
items: 64 Jobs
status: RUNNING
result: observables + logsAn environment catalog with subject facets, kernel registration, clone-from-curated workflows, and health checks.
Stable project-scoped Job IDs, status history, cancellation, retries, quota depletion states, and partial-result recovery.
Parameter sweeps and circuit batches fan out as arrays while staying visible as a single campaign.
Normalized counts, statevector, expectation, and artifact outputs with schema versions, logs, metrics, and exportable handles.
Estimate compute time, memory, storage, and wallet impact before a Job queues.
Run on the cloud capacity you already operate; keep sensitive circuits, chemistry inputs, and results inside your boundary.
GPU engines are optional and bring-your-own-license: you provide licensed NVIDIA cuQuantum/CUDA software and your own GPU capacity. WECORE does not bundle or resell proprietary GPU software.
No. QuFabric is a quantum simulation platform: mature open-source engines running on the classical capacity of your own cloud. WECORE does not provide quantum hardware, QPUs, or supercomputers, and nothing on this page runs on real qubits.
Cirq with the qsim statevector engine, quimb with cotengra for tensor networks, TeNPy for DMRG and TEBD/TDVP, QuTiP for open quantum systems, PySCF for quantum chemistry, and NetKet for neural-network quantum states — plus optional GPU paths through cuTensorNet and gpu4pyscf.
No. The engines are CPU-first and run on your existing cloud capacity. cuTensorNet and gpu4pyscf add optional GPU acceleration on a bring-your-own-license basis: you supply licensed NVIDIA software and GPU capacity. WECORE does not bundle or resell proprietary GPU software.
Hosted services run your work on their infrastructure, under their account and credit model. QuFabric brings the same workspace pattern — projects, environments, Jobs, and results — to capacity you operate, so circuits, chemistry inputs, and results never leave your boundary.
Yes. The path is notebook-first: prototype in JupyterLab, then submit the same environment as Jobs or campaigns.
Every Job captures project metadata, input artifacts, engine versions, the selected environment, the resource request, result schemas, logs, timing, and quota impact.