TY - JOUR T1 - Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap Y1 - 2023 A1 - Paul Alsing A1 - Phil Battle A1 - Joshua C. Bienfang A1 - Tammie Borders A1 - Tina Brower-Thomas A1 - Lincoln D. Carr A1 - Fred Chong A1 - Siamak Dadras A1 - Brian DeMarco A1 - Ivan Deutsch A1 - Eden Figueroa A1 - Danna Freedman A1 - Henry Everitt A1 - Daniel Gauthier A1 - Ezekiel Johnston-Halperin A1 - Jungsang Kim A1 - Mackillo Kira A1 - Prem Kumar A1 - Paul Kwiat A1 - John Lekki A1 - Anjul Loiacono A1 - Marko Lončar A1 - John R. Lowell A1 - Mikhail Lukin A1 - Celia Merzbacher A1 - Aaron Miller A1 - Christopher Monroe A1 - Johannes Pollanen A1 - David Pappas A1 - Michael Raymer A1 - Ronald Reano A1 - Brandon Rodenburg A1 - Martin Savage A1 - Thomas Searles A1 - Jun Ye AB -

Quantum information science and technology (QIST) is a critical and emerging technology with the potential for enormous world impact and is currently invested in by over 40 nations. To bring these large-scale investments to fruition and bridge the lower technology readiness levels (TRLs) of fundamental research at universities to the high TRLs necessary to realize the promise of practical quantum advantage accessible to industry and the public, we present a roadmap for Quantum Technology Demonstration Projects (QTDPs). Such QTDPs, focused on intermediate TRLs, are large-scale public-private partnerships with a high probability of translation from laboratory to practice. They create technology demonstrating a clear 'quantum advantage' for science breakthroughs that are user-motivated and will provide access to a broad and diverse community of scientific users. Successful implementation of a program of QTDPs will have large positive economic impacts.

UR - https://arxiv.org/abs/2210.14757 ER - TY - JOUR T1 - Development of Quantum InterConnects for Next-Generation Information Technologies Y1 - 2019 A1 - David Awschalom A1 - Karl K. Berggren A1 - Hannes Bernien A1 - Sunil Bhave A1 - Lincoln D. Carr A1 - Paul Davids A1 - Sophia E. Economou A1 - Dirk Englund A1 - Andrei Faraon A1 - Marty Fejer A1 - Saikat Guha A1 - Martin V. Gustafsson A1 - Evelyn Hu A1 - Liang Jiang A1 - Jungsang Kim A1 - Boris Korzh A1 - Prem Kumar A1 - Paul G. Kwiat A1 - Marko Lončar A1 - Mikhail D. Lukin A1 - David A. B. Miller A1 - Christopher Monroe A1 - Sae Woo Nam A1 - Prineha Narang A1 - Jason S. Orcutt AB -

Just as classical information technology rests on a foundation built of interconnected information-processing systems, quantum information technology (QIT) must do the same. A critical component of such systems is the interconnect, a device or process that allows transfer of information between disparate physical media, for example, semiconductor electronics, individual atoms, light pulses in optical fiber, or microwave fields. While interconnects have been well engineered for decades in the realm of classical information technology, quantum interconnects (QuICs) present special challenges, as they must allow the transfer of fragile quantum states between different physical parts or degrees of freedom of the system. The diversity of QIT platforms (superconducting, atomic, solid-state color center, optical, etc.) that will form a quantum internet poses additional challenges. As quantum systems scale to larger size, the quantum interconnect bottleneck is imminent, and is emerging as a grand challenge for QIT. For these reasons, it is the position of the community represented by participants of the NSF workshop on Quantum Interconnects that accelerating QuIC research is crucial for sustained development of a national quantum science and technology program. Given the diversity of QIT platforms, materials used, applications, and infrastructure required, a convergent research program including partnership between academia, industry and national laboratories is required. This document is a summary from a U.S. National Science Foundation supported workshop held on 31 October - 1 November 2019 in Alexandria, VA. Attendees were charged to identify the scientific and community needs, opportunities, and significant challenges for quantum interconnects over the next 2-5 years. 

UR - https://arxiv.org/abs/1912.06642 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 Simulation of Spin Models on an Arbitrary Lattice with Trapped Ions JF - New Journal of Physics Y1 - 2012 A1 - Simcha Korenblit A1 - Dvir Kafri A1 - Wess C. Campbell A1 - Rajibul Islam A1 - Emily E. Edwards A1 - Zhe-Xuan Gong A1 - Guin-Dar Lin A1 - Luming Duan A1 - Jungsang Kim A1 - Kihwan Kim A1 - Christopher Monroe AB - A collection of trapped atomic ions represents one of the most attractive platforms for the quantum simulation of interacting spin networks and quantum magnetism. Spin-dependent optical dipole forces applied to an ion crystal create long-range effective spin-spin interactions and allow the simulation of spin Hamiltonians that possess nontrivial phases and dynamics. Here we show how appropriate design of laser fields can provide for arbitrary multidimensional spin-spin interaction graphs even for the case of a linear spatial array of ions. This scheme uses currently existing trap technology and is scalable to levels where classical methods of simulation are intractable. VL - 14 U4 - 095024 UR - http://arxiv.org/abs/1201.0776v1 CP - 9 J1 - New J. Phys. U5 - 10.1088/1367-2630/14/9/095024 ER -