Compact Ion-Trap Quantum Computing Demonstrator

Pogorelov, Ivan; Feldker, T.; Marciniak, Christian D.; Postler, Lukas; Jacob, Georg; Krieglsteiner, Oliver; Podlesnic, Verena; Meth, M.; Negnevitsky, Vlad; Stadler, M.; Höfer, Bernd; Wächter, Christoph; Lakhmanskiy, Kirill; Blatt, R.; Schindler, Philipp; Monz, Thomas

doi:10.1103/prxquantum.2.020343

Cited by 254 publications

(134 citation statements)

References 80 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…In this case, implementing our scheme on a quantum computer would require a number of qubits more than one order of magnitude larger than that of the most powerful existing quantum annealing device. However, if the size of quantum computing hardware continues to grow in size and performance according to the present exponential rate [69][70][71], we may hope this threshold to be reached within the foreseeable future. Once quantum annealing machines with order of 10 5 qubits become available, we envision our scheme to provide a powerful new paradigm for simulating complex molecular transitions without any need of prior knowledge, with great potential for applications in biophysics and material science.…”

Section: Discussionmentioning

confidence: 99%

Sampling Rare Conformational Transitions with a Quantum Computer

Ghamari¹,

Hauke²,

Covino³

et al. 2022

Preprint

View full text Add to dashboard Cite

Spontaneous structural rearrangements play a central role in the organization and function of complex biomolecular systems. In principle, physics-based computer simulations like Molecular Dynamics (MD) enable us to investigate these thermally activated processes with an atomic level of resolution. However, rare conformational transitions are intrinsically hard to investigate with MD, because an exponentially large fraction of computational resources must be invested to simulate thermal fluctuations in metastable states. Path sampling methods like Transition Path Sampling hold the great promise of focusing the available computational power on sampling the rare stochastic transition between metastable states. In these approaches, one of the outstanding limitations is to generate paths that visit significantly different regions of the conformational space at a low computational cost. To overcome these problems we introduce a rigorous approach that integrates a machine learning algorithm and MD simulations implemented on a classical computer with adiabatic quantum computing. First, using functional integral methods, we derive a rigorous low-resolution representation of the system's dynamics, based on a small set of molecular configurations generated with machine learning. Then, a quantum annealing machine is employed to explore the transition path ensemble of this low-resolution theory, without introducing un-physical biasing forces to steer the system's dynamics. Using the D-Wave quantum computer, we validate our scheme by simulating a benchmark conformational transition in a state-of-the-art atomistic description. We show that the quantum computing step generates uncorrelated trajectories, thus facilitating the sampling of the transition region in configuration space. Our results provide a new paradigm for MD simulations to integrate machine learning and quantum computing.

show abstract

Section: Discussionmentioning

confidence: 99%

Sampling Rare Conformational Transitions with a Quantum Computer

Ghamari¹,

Hauke²,

Covino³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…To begin we examine randomized quantum gates that are native to the hardware, for their ability to induce strong entanglement in the wave function. In trapped-ion hardware, the native entangling gate-the MS gate-is equivalent to a rotation around the X X -axis by an angle , with unitary propagator acting on qubits j and k [38]:…”

Section: Hybrid Circuit Designmentioning

confidence: 99%

“…The native random single-qubit gates for trapped-ion hardware are rotations around arbitrary axes in the X -Y -plane, with propagator acting on qubit j [38]:…”

Section: Hybrid Circuit Designmentioning

confidence: 99%

Simulating a measurement-induced phase transition for trapped-ion circuits

et al. 2021

View full text Add to dashboard Cite

“…the |101 state. After correcting for state preparation and measurement (SPAM) errors due to the global shelving pulses, optical pumping initialization, and measurement fidelity, we arrive at a fidelity of 0.9964 (10) for a σ z π pulse. We also find that while the target ion undergoes an operation, other ions suffer an error of 0.001 − 0.002 per ion; this may be due to background σ z noise.…”

Section: Individual Addressingmentioning

confidence: 99%

“…Several small trapped-ion quantum registers were demonstrated and benchmarked in the last few years. Notable examples include Ca + registers of optical qubits at the University of Innsbruck and Alpine Quantum Computing [9,10]; Yb + registers by JQI, IonQ [11,12] and the Tsinghua group [13]; and shuttling-based trapped ion registers by NIST, ETH, Honeywell and Mainz [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A trapped ion quantum computer with robust entangling gates and quantum coherent feedback

Manovitz¹,

Shapira²,

Gazit³

et al. 2021

Preprint

View full text Add to dashboard Cite

Quantum computers are expected to achieve a significant speed-up over classical computers in solving a range of computational problems. Chains of ions held in a linear Paul trap are a promising platform for constructing such quantum computers, due to their long coherence times and high quality of control. Here we report on the construction of a small, five-qubit, universal quantum computer using 88 Sr + ions in an RF trap. All basic operations, including initialization, quantum logic operations, and readout, are performed with high fidelity. Selective two-qubit and single-qubit gates, implemented using a narrow linewidth laser, comprise a universal gate set, allowing realization of any unitary on the quantum register. We review the main experimental tools, and describe in detail unique aspects of the computer: the use of robust entangling gates and the development of a quantum coherent feedback system through EMCCD camera acquisition. The latter is necessary for carrying out quantum error correction protocols in future experiments.

show abstract

Compact Ion-Trap Quantum Computing Demonstrator

Cited by 254 publications

References 80 publications

Sampling Rare Conformational Transitions with a Quantum Computer

Sampling Rare Conformational Transitions with a Quantum Computer

Simulating a measurement-induced phase transition for trapped-ion circuits

A trapped ion quantum computer with robust entangling gates and quantum coherent feedback

Contact Info

Product

Resources

About