Hyperconverged Quantum Cluster HQC PLATFORM

Physics and Quantum Algorithm Research

Total Transparency

See and control every element of the signal chain—from pulse to readout—with full access to attenuators, amplifiers, and more.

Code in Python, Control Pulse

Write complex quantum experiments in an intuitive Python SDK (QUA), designed for physicists by quantum hardware experts.

Ultra-Low Latency Hybrid Computing

Leverage 2 µs hardware-to-classical round-trip latency to implement closed-loop control, adaptive measurements, and low-latency decoding within qubit coherence times.

Remote Infrastructure. Local Control.

Connect to both classical and quantum hardware in our managed quantum data center directly from your local IDE, and explore experiment data visually through an intuitive web-based GUI.

Fully Remote, Research-Grade Quantum Laboratory

Access the complete signal chain — from high-level circuit design down to pulse-level control and hardware execution. Design experiments at the abstraction layer that suits your research: prototype at the circuit level, refine with custom pulse sequences, or work directly with calibrated control parameters. Integrate classical algorithms alongside your quantum processor and implement low-latency feedback within qubit coherence times — enabling advanced protocols, adaptive measurements, and closed-loop optimization. Built for experimentalists. Accessible from anywhere.

Hardware resources

Superconducting Quantum Processors

Fixed- and tunable-coupler transmon architectures supporting circuit-level and pulse-level control, fast readout, and real-time feedback for advanced experimental protocols.

Photonic Quantum Processors

An 8-mode boson-sampling optical processor for single-photon experiments, supporting detailed studies of multi-photon interference, mode correlations, and hybrid quantum-classical computational protocols.

Classical Compute

Low-latency, high-bandwidth optical interconnects tightly couple quantum hardware with classical compute clusters. Nearly 1,000 vCPUs and terabytes of RAM support large-scale simulations, real-time feedback, and quantum IP development within a standard software ecosystem.

Classical Accelerators

Access to GPU accelerators (A100, L40S, and others) and FPGA platforms (Alveo V80) enables machine learning workflows, fast decoding, custom control logic, and ultra-low-latency hybrid processing pipelines.

Let’s Discuss Your Research Requirements

Focus on advancing your ideas — not managing infrastructure. We provide the hardware, control stack, and remote access environment, so you can concentrate on experiment design, algorithm development, and data analysis.

IQCC by Quantum Machines

A hub for quantum research, development, and education. Our mission is to accelerate quantum technology by providing a tightly integrated infrastructure where quantum and classical computing operate as one.

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