DecaQ has launched Cloud Beta 2, making available the equivalent of 400 logical digital qubits and supporting up to 200,000 digital oracle gates on standard hardware. The platform is claimed to operate without physical qubits or a quantum processing unit, and the company reports no quantum hardware noise. Cloud Beta 2 reportedly supports six quantum algorithm families, including Bernstein-Vazirani and Iterative Phase Estimation, offering capabilities ranging from parity-mask identification to eigenvalue investigation. “DecaQ is deterministic digital quantum computation powered by a Digital Quantum Oracle,” the company states, enabling research in areas like chemistry, materials science and network allocation. DecaQ is still in stealth, so we know little about it as yet, but the company is based in Israel and we do not know any of the founders as none are listed on the website.
DecaQ Cloud Beta 2: ‘400 Logical Qubits’ and Algorithm Access
This milestone moves beyond traditional quantum simulation, as the platform is neither a state-vector simulator nor a tensor-network simulator, offering a distinct computational approach, it is claimed. Oracle evaluation capabilities, including support for the Bernstein-Vazirani and Deutsch-Jozsa algorithms, allow parity-mask identification and function classification, providing tools to examine oracle logic and parity relationships. Iterative Phase Estimation and Quantum Phase Estimation enable phase-bit and phase-word readout, supporting sequential phase estimation and eigenvalue analysis within supported models.
The Variational Quantum Eigensolver and Quantum Approximate Optimisation Algorithm address energy and optimisation challenges, supporting local-energy and graph-partitioning reference workloads. These six algorithm families open research pathways toward chemistry, materials science, physical-system analysis and network allocation, with reference examples including local-field energy calculations and wireless-channel partitioning. Researchers, developers, and enterprise R&D teams can now request beta access through DecaQ.ai to explore these capabilities and evaluate the platform’s potential for their specific applications, the company says.
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