Ashley Montanaro
CEO
Phasecraft
Develops quantum algorithms and software that optimize the performance of quantum hardware from partners like Google, IBM, and Rigetti. By addressing challenges in quantum computation, such as approximating dynamical correlation functions and uncovering quantum phase transitions, Phasecraft enables more efficient and scalable quantum applications. Its proprietary methods and research position it as a leader in quantum intellectual property and software development.
- Artificial Intelligence
- Quantum Computing
- Software Only
Updated 17 days ago
Funding
Raised to date
$16.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Current quantum hardware faces performance limitations that hinder the development of efficient and scalable quantum applications. Approximating dynamical correlation functions and identifying quantum phase transitions present significant computational challenges.
Solution
Phasecraft develops quantum algorithms and software designed to optimize the performance of quantum hardware from leading providers. By creating methods to overcome computational bottlenecks, Phasecraft enables the development of more efficient and scalable quantum applications across various sectors. The company's research focuses on fundamental breakthroughs in quantum science, solidifying its position in quantum intellectual property and software development. Phasecraft's algorithms aim to maximize the utility of near-term quantum devices, accelerating the path to quantum advantage in practical applications. These algorithms are designed to reduce the resource requirements for quantum simulations, making them more manageable and cost-effective.
Target Audience
The primary audience includes researchers and developers in quantum computing, materials science, chemistry, and other fields requiring computationally intensive simulations, as well as organizations seeking to leverage quantum computing for practical applications.
Features
- Algorithms designed to approximate dynamical correlation functions with constant depth quantum circuits.
- Methods for uncovering quantum phase transitions from traps in variational quantum algorithms.
- THRIFT (Trotter Heuristic Resource Improved Formulas for Time-dynamics) algorithm optimizes quantum simulations by exploiting different energy scales in quantum systems.
- Algorithms developed in collaboration with leading quantum hardware providers like Google, IBM, and Rigetti.
- Focus on biochemical process modeling for drug discovery in partnership with Wellcome Leap, the University of Nottingham, and QuEra Computing Inc.