Product Overview

Advancing Superconducting Quantum Technologies

QIM develops cryogenic control electronics and quantum emulation platforms engineered for scalable quantum computing research and deployment and QIM Academy offers Quantum Hardware designing and Quantum Computing training programmes.

Contact QIM Learn more about QIM Academy
Key metrics
TRL 2-3 Technology readiness
68 mo Nova Flux to Product V1
<100 mK Target operating temp
3 Active product tracks
Product Tracks

Three pathways from quantum research to deployable capability.

Each product is designed for a distinct application domain. Cryogenic qubit control for superconducting quantum hardware, quantum emulation for workflow validation and benchmarking, and specialized training programmes for quantum hardware designing and computing.

Flagship roadmap

Nova Flux

A cryogenic qubit controller engineered for superconducting quantum processors. Built for ultra-low temperature operation with precise pulse timing and low-latency feedback, designed from the ground up for scalable quantum systems.

Cryogenic Control Cryo Electronics Qubit Interface Research Stage
Technical Preview

Qimulator

A quantum emulation environment for validating algorithms and control workflows before dedicated hardware is available. Enables teams to test and iterate on quantum system designs in a reproducible software environment.

Algorithm Validation Control Prototyping System Testing Early Access
QIM Academy

Quantum Workshops

QIM provides training in quantum computing fundamentals, hands-on 2D and 3D resonator design, qubit control theory, and practical hardware workflows through structured hardware and software tracks, culminating in a collaborative final-week hackathon.

Hardware Track Software Track Hackathon Coming Soon
Nova Flux — Cryogenic Qubit Controller

From first prototypes to Product V1 in 68 months.

The Nova Flux roadmap is structured around six milestone gates, each building on the last to advance the technology from early research through to commercial deployment.

Core
0–6 mo
PoC
21 mo
TRL 4
33 mo
Eval Kit
48 mo
Multi-Qubit
54 mo
Product V1
68 mo
0 – 6 months

Completed Core

  • Core team assembled and lab infrastructure established
  • Problem space defined for scalable qubit control
  • Initial cryogenic control concepts validated at design level
6 – 21 months

Proof of Concept

  • Design and simulate cryogenic control logic
  • Fabricate and test first cryogenic electronic prototypes
  • Validate pulse-timing performance at operating temperatures
  • File foundational IP and begin partner engagement
21 – 33 months

TRL 4 — First Control

  • End-to-end qubit control demonstration in laboratory
  • Validate control fidelity with partner quantum test chips
  • Reach Technology Readiness Level 4
  • Begin technical integration with research collaborators
33 – 48 months

Evaluation Kit v1

  • Release packaged evaluation hardware to partner network
  • Deliver control software and documentation
  • Expand pilot activities across quantum computing and sensing
48 – 63 months

Multi-Qubit Scale

  • Scale to multi-channel parallel qubit control
  • Run structured pilot programmes with research partners
  • Validate across real-world quantum application scenarios
  • Advance commercial terms and go-to-market planning
63 – 68 months

Product V1

  • Scale to pre-production hardware volumes
  • Secure Product V1 agreement with quantum systems partner
  • Scale engineering team and operational infrastructure
  • Position for Series A and broad market launch
Technical Specifications

Nova Flux target system parameters.

Engineering targets for the Nova Flux v1 evaluation platform. All figures are subject to revision as prototype validation proceeds.

Control Approach
Cryogenic pulse-based control logic
Operating Temperature
< 100 mK (dilution refrigerator stage)
Pulse Timing
Sub-nanosecond, phase-coherent
Feedback Latency
Target < 1 µs round-trip
Qubit Compatibility
Superconducting qubit architectures
Scalability
Multi-channel parallel control (v1 Eval Kit)
Power
Optimised for cryogenic thermal load constraints
Interface
Software SDK + API; partner-configurable
Technology Readiness
TRL 2–3 (active proof-of-concept phase)
Qimulator — Validation Environment

Validate your quantum stack before hardware is available.

High-Fidelity Emulation Backends

Supports tensor-network state simulation and full density-matrix emulation for open quantum system modelling, noise characterisation, and decoherence analysis up to practical circuit depths.

Control-Stack Prototyping Interface

Emulate pulse sequences, calibration routines, and feedback control strategies as if running on real hardware. Identify timing errors, crosstalk sensitivities, and leakage pathways before fabrication.

Algorithm & Workflow Validation

Run quantum error correction codes, variational algorithms, and system-level workflows end-to-end in a reproducible, version-controlled environment — compatible with standard quantum toolchains.

Access & Status

Availability Partner early access
Deployment Cloud-hosted (evaluation)
Backends Tensor-network + density matrix
Interface REST API + Python SDK
Compatibility OpenQASM 3, Qiskit, Cirq
Evaluation type Partner NDA, by request
QIM Academy

Quantum foundation for engineers and researchers.

Structured 3-week workshops with dedicated hardware and software tracks — built for engineers, researchers, and technical founders stepping into quantum.

HW
Week 1 — Hardware Track
Quantum fundamentals, superconducting qubit physics, cryogenic system design, and resonator design principles
SW
Week 1 — Software Track
Quantum computing concepts, quantum gates and circuits, quantum algorithms, and programming frameworks
HW
Week 2 — Hardware Track
Qubit control and readout, cryogenic electronics, system integration, and practical design workflows
SW
Week 2 — Software Track
Quantum simulation, error mitigation, variational methods, and applied quantum problem-solving
HK
Week 3 — Hackathon
Participants solve real-world quantum challenges by combining hardware and software skills in cross-track teams for a collaborative final project.
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Internship Opportunity
The top 3 individual participants will receive a 3-month internship opportunity at QIM.

QIM Academy — Workshop Programme

Cohort-based workshops led by QIM's engineering team. Participants work through design tools, simulation environments, and guided projects alongside peers from both tracks.

Format Live cohort, online & hybrid
Tracks Hardware + Software (choose one or both)
Duration 3 weeks — incl. Hackathon in Week 3
Audience Engineers, researchers, founders
Status Registrations coming soon
Join Workshop
Research stage & early access

Discuss Nova Flux access, technical partnerships, or the roadmap.

Contact QIM