Accelerating the Quantum Stack
Noise is the central obstacle in quantum computing today. Aqceleration develops post-processing methods that recover accurate results from noisy measurements, reducing the execution overhead required for practical quantum computation.
About
Quantum error mitigation and post-processing
The Problem
Today's quantum hardware is fundamentally noisy. Every gate operation introduces errors, and those errors compound across deep circuits — making reliable computation on current devices extraordinarily difficult without significant overhead.
Our Approach
Aqceleration develops post-processing methods that recover accurate results from noisy measurements without requiring additional quantum resources. Our research spans statistical signal processing, quantum state tomography, and machine learning-based mitigation — grounded in rigorous mathematics and aimed at practical quantum advantage.
Meet our team
Chief Executive Officer & Co-founder
Dror Baron, PhD
Information theorist and quantum computing researcher bridging statistical signal processing and quantum error mitigation.
Chief Scientist & Co-founder
Bojko Bakalov, PhD
Mathematician and quantum physicist bringing deep expertise in algebraic structures and symmetry to quantum computing.
Featured publications
- Approximate Message Passing for Quantum State Tomography
- Statistical Signal Processing for Quantum Error Mitigation
- Q-cluster: quantum error mitigation through noise-aware unsupervised learning
- Provable avoidance of barren plateaus for the Quantum Approximate Optimization Algorithm with Grover mixers
- Quantum Advantage in Trading: A Game-Theoretic Approach
- Geometric quantum machine learning with horizontal quantum gates
- Classification of dynamical Lie algebras of 2-local spin systems on linear, circular and fully connected topologies
- Qubit-wise majority vote: Maximum likelihood quantum error mitigation for algorithms with a single correct output
- A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits