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WE MAKE
BIG IDEAS HAPPEN

Join Us for the Quantum Revolution

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LOCATION

We’re based in Ottawa & Waterloo Innovation hub

Ottawa and Waterloo are two of Canada's strongest tech and innovation ecosystems. Ottawa brings strength in telecommunications, public sector innovation, and deep tech, while Waterloo is renowned for its startup culture, engineering talent, and ties to institutions like the University of Waterloo and Communitech.

Quantum Memory Using Diamond NV Centers

Scalable Quantum Memory with Diamond NV Centers

We are leveraging nitrogen-vacancy (NV) centers in diamond to create long-lived, optically addressable quantum memory units suitable for quantum networks and hybrid quantum systems.

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Technical Description

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Diamond NV centers are atomic-scale defects in diamond lattices where a nitrogen atom replaces a carbon adjacent to a lattice vacancy. These centers possess spin-triplet ground states with coherence times that can exceed milliseconds at room temperature. Our work focuses on enhancing coherence via isotopic purification and nanofabrication, integrating these centers with optical cavities, and enabling quantum repeater protocols through spin-photon entanglement.

 

Potential Applications

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  • Quantum repeaters for long-distance communication

  • Quantum random-access memory (QRAM)

  • Single-photon sources for quantum key distribution (QKD)

  • Room-temperature quantum sensing

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Current Research Goals

 

  • Achieve >10 ms coherence time at room temperature

  • Improve photon collection efficiency via diamond nanophotonics

  • Implement multi-node quantum network simulations

  • Demonstrate NV-based quantum error correction primitives

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Quantum Memory with Trapped Ion Technologies
 

High-Fidelity Quantum Registers Using Trapped Ions

We are exploring trapped-ion platforms to create ultra-reliable, noise-resilient quantum memory modules capable of storing and retrieving entangled quantum states across distributed systems.

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Technical Description

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Trapped ions—typically Yb⁺, Ca⁺, or Ba⁺—are confined in electromagnetic traps and manipulated using laser pulses. These systems offer long coherence times, high-fidelity gates, and state preparation/readout efficiencies exceeding 99%. Our research explores scalable ion traps, cryogenic operation, and error-resilient memory storage using decoherence-free subspaces and dynamical decoupling.

 

Potential Applications

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  • Quantum memory nodes for modular quantum computers

  • Ancilla storage in fault-tolerant quantum architectures

  • Distributed quantum computing (cluster-state generation)

  • Quantum sensing in ultra-low noise regimes

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Current Research Goals

 

  • Develop cryo-cooled multi-zone trap arrays

  • Integrate optical interconnects for remote ion entanglement

  • Demonstrate >99.99% memory fidelity over 10-second durations

  • Optimize ion-photon interfaces for hybrid networking

Next-Gen Quantum AI Solutions

Quantum-Powered Artificial Intelligence

We are building the next generation of AI systems powered by quantum algorithms for optimization, inference, and representation learning across domains such as finance, materials discovery, and bioinformatics.

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Technical Description

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Quantum AI combines quantum algorithms with machine learning frameworks to overcome classical bottlenecks in training, inference, and search. Our work spans variational quantum classifiers (VQCs), quantum-enhanced kernel methods, and quantum generative models (QGANs), using hybrid quantum-classical systems based on Qiskit, PennyLane, and Braket.

 

Potential Applications

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  • Drug discovery and protein folding acceleration

  • Portfolio optimization and fraud detection

  • Material and chemical property prediction

  • Quantum-enhanced NLP and computer vision

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Current Research Goals

 

  • Benchmark variational quantum classifiers against SVMs and DNNs

  • Integrate near-term quantum processors with PyTorch workflows

  • Develop a library of reusable quantum ML primitives

  • Collaborate with hardware partners to test noise-aware AI models

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