TY - JOUR T1 - Fault-Tolerant Operation of a Quantum Error-Correction Code Y1 - 2020 A1 - Laird Egan A1 - Dripto M. Debroy A1 - Crystal Noel A1 - Andrew Risinger A1 - Daiwei Zhu A1 - Debopriyo Biswas A1 - Michael Newman A1 - Muyuan Li A1 - Kenneth R. Brown A1 - Marko Cetina A1 - Christopher Monroe AB -

Quantum error correction protects fragile quantum information by encoding it in a larger quantum system whose extra degrees of freedom enable the detection and correction of errors. An encoded logical qubit thus carries increased complexity compared to a bare physical qubit. Fault-tolerant protocols contain the spread of errors and are essential for realizing error suppression with an error-corrected logical qubit. Here we experimentally demonstrate fault-tolerant preparation, rotation, error syndrome extraction, and measurement on a logical qubit encoded in the 9-qubit Bacon-Shor code. For the logical qubit, we measure an average fault-tolerant preparation and measurement error of 0.6% and a transversal Clifford gate with an error of 0.3% after error correction. The result is an encoded logical qubit whose logical fidelity exceeds the fidelity of the entangling operations used to create it. We compare these operations with non-fault-tolerant protocols capable of generating arbitrary logical states, and observe the expected increase in error. We directly measure the four Bacon-Shor stabilizer generators and are able to detect single qubit Pauli errors. These results show that fault-tolerant quantum systems are currently capable of logical primitives with error rates lower than their constituent parts. With the future addition of intermediate measurements, the full power of scalable quantum error-correction can be achieved. 

UR - https://arxiv.org/abs/2009.11482 ER - TY - JOUR T1 - Ground-state energy estimation of the water molecule on a trapped ion quantum computer Y1 - 2019 A1 - Yunseong Nam A1 - Jwo-Sy Chen A1 - Neal C. Pisenti A1 - Kenneth Wright A1 - Conor Delaney A1 - Dmitri Maslov A1 - Kenneth R. Brown A1 - Stewart Allen A1 - Jason M. Amini A1 - Joel Apisdorf A1 - Kristin M. Beck A1 - Aleksey Blinov A1 - Vandiver Chaplin A1 - Mika Chmielewski A1 - Coleman Collins A1 - Shantanu Debnath A1 - Andrew M. Ducore A1 - Kai M. Hudek A1 - Matthew Keesan A1 - Sarah M. Kreikemeier A1 - Jonathan Mizrahi A1 - Phil Solomon A1 - Mike Williams A1 - Jaime David Wong-Campos A1 - Christopher Monroe A1 - Jungsang Kim AB -

Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular and nuclear structure, simulating strongly-interacting electron systems, and modeling aspects of material function. While substantial theoretical advances have been made in mapping these problems to quantum algorithms, there remains a large gap between the resource requirements for solving such problems and the capabilities of currently available quantum hardware. Bridging this gap will require a co-design approach, where the expression of algorithms is developed in conjunction with the hardware itself to optimize execution. Here, we describe a scalable co-design framework for solving chemistry problems on a trapped ion quantum computer, and apply it to compute the ground-state energy of the water molecule. The robust operation of the trapped ion quantum computer yields energy estimates with errors approaching the chemical accuracy, which is the target threshold necessary for predicting the rates of chemical reaction dynamics.

UR - https://arxiv.org/abs/1902.10171 ER - TY - JOUR T1 - Quantum Computer Systems for Scientific Discovery Y1 - 2019 A1 - Yuri Alexeev A1 - Dave Bacon A1 - Kenneth R. Brown A1 - Robert Calderbank A1 - Lincoln D. Carr A1 - Frederic T. Chong A1 - Brian DeMarco A1 - Dirk Englund A1 - Edward Farhi A1 - Bill Fefferman A1 - Alexey V. Gorshkov A1 - Andrew Houck A1 - Jungsang Kim A1 - Shelby Kimmel A1 - Michael Lange A1 - Seth Lloyd A1 - Mikhail D. Lukin A1 - Dmitri Maslov A1 - Peter Maunz A1 - Christopher Monroe A1 - John Preskill A1 - Martin Roetteler A1 - Martin Savage A1 - Jeff Thompson A1 - Umesh Vazirani AB -

The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considered together, by co-designing full stack quantum computer systems along with their applications in order to hasten their development and potential for scientific discovery. In this context, we identify scientific and community needs, opportunities, and significant challenges for the development of quantum computers for science over the next 2-10 years. This document is written by a community of university, national laboratory, and industrial researchers in the field of Quantum Information Science and Technology, and is based on a summary from a U.S. National Science Foundation workshop on Quantum Computing held on October 21-22, 2019 in Alexandria, VA.

UR - https://arxiv.org/abs/1912.07577 ER - TY - JOUR T1 - Quantum Simulators: Architectures and Opportunities Y1 - 2019 A1 - Ehud Altman A1 - Kenneth R. Brown A1 - Giuseppe Carleo A1 - Lincoln D. Carr A1 - Eugene Demler A1 - Cheng Chin A1 - Brian DeMarco A1 - Sophia E. Economou A1 - Mark A. Eriksson A1 - Kai-Mei C. Fu A1 - Markus Greiner A1 - Kaden R. A. Hazzard A1 - Randall G. Hulet A1 - Alicia J. Kollár A1 - Benjamin L. Lev A1 - Mikhail D. Lukin A1 - Ruichao Ma A1 - Xiao Mi A1 - Shashank Misra A1 - Christopher Monroe A1 - Kater Murch A1 - Zaira Nazario A1 - Kang-Kuen Ni A1 - Andrew C. Potter A1 - Pedram Roushan AB -

Quantum simulators are a promising technology on the spectrum of quantum devices from specialized quantum experiments to universal quantum computers. These quantum devices utilize entanglement and many-particle behaviors to explore and solve hard scientific, engineering, and computational problems. Rapid development over the last two decades has produced more than 300 quantum simulators in operation worldwide using a wide variety of experimental platforms. Recent advances in several physical architectures promise a golden age of quantum simulators ranging from highly optimized special purpose simulators to flexible programmable devices. These developments have enabled a convergence of ideas drawn from fundamental physics, computer science, and device engineering. They have strong potential to address problems of societal importance, ranging from understanding vital chemical processes, to enabling the design of new materials with enhanced performance, to solving complex computational problems. It is the position of the community, as represented by participants of the NSF workshop on "Programmable Quantum Simulators," that investment in a national quantum simulator program is a high priority in order to accelerate the progress in this field and to result in the first practical applications of quantum machines. Such a program should address two areas of emphasis: (1) support for creating quantum simulator prototypes usable by the broader scientific community, complementary to the present universal quantum computer effort in industry; and (2) support for fundamental research carried out by a blend of multi-investigator, multi-disciplinary collaborations with resources for quantum simulator software, hardware, and education. 

UR - https://arxiv.org/abs/1912.06938 ER - TY - JOUR T1 - Two-qubit entangling gates within arbitrarily long chains of trapped ions Y1 - 2019 A1 - Kevin A. Landsman A1 - Yukai Wu A1 - Pak Hong Leung A1 - Daiwei Zhu A1 - Norbert M. Linke A1 - Kenneth R. Brown A1 - Luming Duan A1 - Christopher R. Monroe AB -

Ion trap systems are a leading platform for large scale quantum computers. Trapped ion qubit crystals are fully-connected and reconfigurable, owing to their long range Coulomb interaction that can be modulated with external optical forces. However, the spectral crowding of collective motional modes could pose a challenge to the control of such interactions for large numbers of qubits. Here, we show that high-fidelity quantum gate operations are still possible with very large trapped ion crystals, simplifying the scaling of ion trap quantum computers. To this end, we present analytical work that determines how parallel entangling gates produce a crosstalk error that falls off as the inverse cube of the distance between the pairs. We also show experimental work demonstrating entangling gates on a fully-connected chain of seventeen 171Yb+ ions with fidelities as high as 97(1)%.

UR - https://arxiv.org/abs/1905.10421 ER - TY - JOUR T1 - Robust two-qubit gates in a linear ion crystal using a frequency-modulated driving force JF - Physical Review Letters Y1 - 2018 A1 - Pak Hong Leung A1 - Kevin A. Landsman A1 - Caroline Figgatt A1 - Norbert M. Linke A1 - Christopher Monroe A1 - Kenneth R. Brown AB -

In an ion trap quantum computer, collective motional modes are used to entangle two or more qubits in order to execute multi-qubit logical gates. Any residual entanglement between the internal and motional states of the ions will result in decoherence errors, especially when there are many spectator ions in the crystal. We propose using a frequency-modulated (FM) driving force to minimize such errors and implement it experimentally. In simulation, we obtained an optimized FM gate that can suppress decoherence to less than 10−4 and is robust against a frequency drift of more than ±1 kHz. The two-qubit gate was tested in a five-qubit trapped ion crystal, with 98.3(4)% fidelity for a Mølmer-Sørensen entangling gate and 98.6(7)% for a controlled-not (CNOT) gate. We also show an optimized FM two-qubit gate for 17 ions, proving the scalability of our method.

VL - 120 U4 - 020501 UR - https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.120.020501 CP - 2 U5 - 10.1103/PhysRevLett.120.020501 ER - TY - JOUR T1 - Co-Designing a Scalable Quantum Computer with Trapped Atomic Ions Y1 - 2016 A1 - Kenneth R. Brown A1 - Jaewan Kim A1 - Christopher Monroe AB - The first generation of quantum computers are on the horizon, fabricated from quantum hardware platforms that may soon be able to tackle certain tasks that cannot be performed or modelled with conventional computers. These quantum devices will not likely be universal or fully programmable, but special-purpose processors whose hardware will be tightly co-designed with particular target applications. Trapped atomic ions are a leading platform for first generation quantum computers, but are also fundamentally scalable to more powerful general purpose devices in future generations. This is because trapped ion qubits are atomic clock standards that can be made identical to a part in 10^15, and their quantum circuit connectivity can be reconfigured through the use of external fields, without modifying the arrangement or architecture of the qubits themselves. In this article we show how a modular quantum computer of any size can be engineered from ion crystals, and how the wiring between ion trap qubits can be tailored to a variety of applications and quantum computing protocols. UR - http://arxiv.org/abs/1602.02840 ER -