DecaQ launches Cloud Beta 2 with 400 logical digital qubits

DecaQ says its Cloud Beta 2 is now live, offering 400 logical digital qubits, six quantum algorithm families, and up to 200,000 digital oracle gates on general-purpose hardware. The company is targeting researchers, developers, and enterprise R&D teams that want deterministic quantum-style workloads without physical qubits or quantum hardware noise.

Why it matters: - DecaQ is positioning Cloud Beta 2 as a QPU-free alternative for quantum-style research and development. - The platform is designed to support workloads without physical qubits or quantum hardware noise. - The release could matter for teams exploring chemistry, materials, optimization, timing, and systems analysis without access to quantum hardware.

What happened: - DecaQ announced the availability of DecaQ Cloud Beta 2 on September 29, 2026. - The platform adds 400 logical digital qubits, six quantum algorithm families, and up to 200,000 digital oracle gates. - DecaQ says the cloud product is now live for researchers, developers, and enterprise R&D teams.

The details: - DecaQ describes its technology as deterministic digital quantum computation powered by a Digital Quantum Oracle. - Supported workloads run on general-purpose hardware. - The platform does not use physical qubits, a quantum processing unit, or quantum hardware noise. - DecaQ says the platform is not a quantum simulator, a state-vector simulator, or a tensor-network simulator. - Cloud Beta 2 combines oracle evaluation, phase estimation, and energy and optimization capabilities in one cloud platform. - The six algorithm families are Bernstein–Vazirani, Deutsch–Jozsa, Iterative Phase Estimation, Quantum Phase Estimation, Variational Quantum Eigensolver, and Quantum Approximate Optimization Algorithm. - Bernstein–Vazirani and Deutsch–Jozsa support parity-mask identification and function classification. - Iterative Phase Estimation and Quantum Phase Estimation support sequential phase-bit and phase-word readout. - VQE and QAOA support local-energy and graph-partitioning reference workloads. - The release cites reference examples including local-field energy, encoded delay readout, and wireless-channel partitioning. - DecaQ says these examples help users evaluate supported capabilities and explore research and application development use cases. - The company says the six families create research pathways in chemistry and materials, physical-system analysis, timing and phase readout, operations and network allocation, and rule diagnostics.

Between the lines: - DecaQ is trying to define a category around deterministic digital quantum computation rather than conventional quantum simulation. - The focus on algorithm families and reference workloads suggests a platform aimed at practical experimentation, not just technical demonstrations. - The company is also signaling that it wants to serve both academic-style users and enterprise R&D teams.

What's next: - DecaQ Cloud Beta 2 is available now. - Researchers, developers, and enterprise R&D teams can contact DecaQ through DecaQ.ai to discuss beta access and supported workloads. - DecaQ is also accepting media and beta access inquiries through DecaQ.ai.

The bottom line: - DecaQ is betting that quantum-inspired workloads can be delivered on standard cloud hardware without the complexity, cost, or noise of physical quantum systems.