Accelerating
the Quantum Stack
Quantum computers are powerful but highly error-prone — small disturbances corrupt results before a computation finishes. Aqceleration develops solutions for quantum error mitigation and characterization, reducing the overhead required for practical quantum computation.
About
Quantum error mitigation and characterization
The Problem
Today's quantum computers are inherently error-prone. Classical transistors are so reliable that a device typically won't suffer a single error across its lifetime, while quantum operations fail at a rate of roughly 1 in 10,000. These errors compound quickly: a program executing 50,000 operations will have five failures on average, enough to reduce the output to gibberish.
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 error mitigation — grounded in rigorous mathematics and aimed at practical quantum advantage.
Team
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.
Research
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