Taking giant steps in quantum algorithms and software

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Deltaflow-VL is an emulator of the control stack for quantum computers. Exposing the full control stack, it allows quantum programmers and algorithm developers to test and implement applications that require fast control such as error-correction and VQE-based algorithms. With Deltaflow-VL, Designers of quantum hardware can develop control system code away from the lab so they can fix bugs without worrying about down-time.

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The quantum operating system

Deltaflow.OS is a radically new operating system for quantum computers. As hybrid systems, quantum computers contain classical and quantum computing elements which must be orchestrated to tease out optimal performance. This is crucial for near-term applications such as quantum chemistry. In the long term, quantum error correction requires close integration of quantum and classical compute.

Inspired by heterogeneous architectures, Deltaflow.OS gives quantum programmers access to all elements in the quantum computing stack. This empowers the quantum programmer to orchestrate the stack optimally leading to performance increases of up to 1000x compared to other quantum computing models.

Deltaflow.OS fulfils two important customer demands: portability of software to any quantum hardware and optimal stack performance to use all available quantum power.


The route to quantum advantage

Anian is Riverlane's application library in Deltaflow.OS. The tool is focussed on quantum chemistry and is being used to develop quantum chemical applications. Driven by the needs of end-users, Anian includes our patented algorithms that decrease quantum hardware requirements, such as the accelerated Variational Quantum Eigensolver. As Anian is connected to a realistic quantum hardware emulator, it allows users to test ideas without having to use quantum hardware. Users can also experiment with different ansätze, measurement strategies, noise models and algorithms.

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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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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