Taking giant steps in quantum algorithms and software


The route to quantum advantage

Anian is a powerful quantum software tool that allows users to apply the newest quantum algorithms to problems that matter.

The tool is driven by the needs of end-users with a focus on quantum chemical applications. It includes our patented algorithms that decrease quantum hardware requirements, such as accelerated VQE. As Anian is connected to a realistic quantum hardware emulator, it allows users to test ideas without having to use actual quantum hardware. Users can also experiment with different ansätze, measurement strategies, noise models and algorithms.

Through DeltaFlow (our NISQ operating system), Anian is portable to any hardware based on trapped-ion or superconducting qubits.

Riverlane DeltaFlow system diagram


The NISQ operating system

DeltaFlow makes writing software for near-term quantum hardware easy. It allows end-users, software providers and hardware developers to build full-stack software through a portable language so software and hardware can advance together.

Currently, running hybrid algorithms on commercially available platforms is cumbersome because of latency which, in practice, destroys any quantum advantage. DeltaFlow solves this problem, enables feedforward programs, and accelerates hybrid algorithms. As Deltaflow is portable and extensible, it offers reconfigurable logic building sequences on demand. DeltaFlow also defines the Quantum Abstract Machine, a standardisation that is sorely needed across the industry.

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Key publications

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Efficient Quantum Measurement of Pauli Operators

Ophelia Crawford, Barnaby van Straaten, Daochen Wang, Thomas Parks, Earl Campbell, Stephen Brierley, arXiv:1908.06942

By making the measurement of Pauli Operators on a quantum computer more efficient, we demonstrate significant speed-up over traditional hybrid algorithms.

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Riverlane graphs alphaspeedup

Accelerated Variational Quantum Eigensolver

Daochen Wang, Oscar Higgott, Stephen Brierley Phys. Rev. Lett. 122, 140504 (2019)

We dramatically decrease the resource requirements of the VQE quantum-classical hybrid algorithm by exploiting all available coherence time of a quantum computer. This exponentially reduces the number of samples required for a given precision.

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Variational Quantum Computation of Excited States

Oscar Higgott, Daochen Wang, Stephen Brierley, Quantum 3, 156 (2019)

We show how excited state energies in electronic structures can be calculated just as efficiently as ground-state energies with low-depth quantum algorithms such as the Variational Quantum Eigensolver.

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