Thomas Plunkett, Terrill L. Frantz, H. Khatri, P. Rajendran, Sunny Midha
{"title":"A Survey of Educational Efforts to Accelerate a Growing Quantum Workforce","authors":"Thomas Plunkett, Terrill L. Frantz, H. Khatri, P. Rajendran, Sunny Midha","doi":"10.1109/QCE49297.2020.00048","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00048","url":null,"abstract":"This paper identifies several education efforts for individuals entering the quantum computing workforce. This survey report identifies current approaches to educate students from varied learning groups, including professionals looking to increase their skillsets, high school students exploring their interests, and individuals seeking a formal master's degree in the field. This survey provides a view into the rapidly evolving efforts of the quantum workforce-development ecosystem.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125142243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Tacchino, P. Barkoutsos, C. Macchiavello, D. Gerace, I. Tavernelli, D. Bajoni
{"title":"Variational learning for quantum artificial neural networks","authors":"F. Tacchino, P. Barkoutsos, C. Macchiavello, D. Gerace, I. Tavernelli, D. Bajoni","doi":"10.1109/QCE49297.2020.00026","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00026","url":null,"abstract":"In the last few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information processing systems can be realized and programmed. The rapidly growing field of Quantum Machine Learning aims at bringing together these two ongoing revolutions. Here we first review a series of recent works describing the implementation of artificial neurons and feed-forward neural networks on quantum processors. We then present an original realization of efficient individual quantum nodes based on variational unsampling protocols. While keeping full compatibility with the overall memory-efficient feed-forward architecture, such a construction effectively reduces the quantum circuit depth required to determine the activation probability of single neurons upon input of the relevant data-encoding quantum states. This suggests a viable approach towards the use of quantum neural networks for pattern classification on near-term quantum hardware.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132556786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Quantum Week 2020 Exhibitors and Supporters","authors":"","doi":"10.1109/qce49297.2020.00062","DOIUrl":"https://doi.org/10.1109/qce49297.2020.00062","url":null,"abstract":"","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"11 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Josu Etxezarreta Martinez, Patricio Fuentes, P. Crespo, J. Garcia-Frías
{"title":"Pauli Channel Online Estimation Protocol for Quantum Turbo Codes","authors":"Josu Etxezarreta Martinez, Patricio Fuentes, P. Crespo, J. Garcia-Frías","doi":"10.1109/QCE49297.2020.00023","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00023","url":null,"abstract":"In this paper, we tackle the channel estimation problem for Pauli channels. Online estimation methods for the depolarizing channel have been proposed in previous literature. However, realistic quantum devices often exhibit an asymmetric behaviour not captured by the symmetric depolarizing model, implying that the estimation method used by Quantum Turbo Codes (QTC) should exploit such asymmetry for the error correcting operations to be successful. Consequently, we propose an online iterative method that aids in successfully estimating each of the individual error probabilities associated with the Pauli channel, ultimately increasing the probability of correct decoding. The benefits this method provides come at the expense of an increase in the decoding complexity.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Quantum Week 2020 Panel Abstracts","authors":"Patty Lee, Organizer","doi":"10.1109/QCE49297.2020.00016","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00016","url":null,"abstract":"The Panels of the inaugural IEEE International Conference on Quantum Computing and Engineering (QCE20) feature enlightening and impactful discussions among experts on different perspectives of quantum topics, including quantum entrepreneurship, quantum education & training, quantum hardware & software, quantum engineering challenges, fault-tolerant quantum computers, quantum error correction, quantum intermediate language representation, hardware-software co-design, and hybrid quantum-classical computing platforms. The QCE20 Panels program comprises seven panels with over 48 panelists from six countries on hot topics in quantum computing and engineering.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"127 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114105346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Quantum Week 2020 Chairs' Message","authors":"","doi":"10.1109/qce49297.2020.00005","DOIUrl":"https://doi.org/10.1109/qce49297.2020.00005","url":null,"abstract":"Welcome to the inaugural IEEE International Conference on Quantum Computing and Engineering (QCE20) or IEEE Quantum Week. We are thrilled to report that with your outstanding contributions and participation, we have built a premier meeting to grow the highly interdisciplinary quantum community and help advance quantum computing, engineering, and technology. One of the goals for IEEE Quantum Week, developed under the auspices of IEEE Future Directions Quantum Initiative, is to build a first-class meeting of quantum minds providing ample opportunities to network with peers and explore partnerships among industry, government, and academia. IEEE Quantum Initiative officially started in January 2019 under the leadership of the following four co-chairs: Candace Culhane, Los Alamos National Laboratory, Erik DeBenedictis, Sandia National Laboratories, Travis Humble, Oak Ridge National Laboratory, and Hausi Müller, University of Victoria along with Terence Martinez, Program Director, IEEE Future Directions.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128667738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Davis, Ethan Smith, Ana Tudor, Koushik Sen, I. Siddiqi, Costin Iancu
{"title":"Towards Optimal Topology Aware Quantum Circuit Synthesis","authors":"M. Davis, Ethan Smith, Ana Tudor, Koushik Sen, I. Siddiqi, Costin Iancu","doi":"10.1109/QCE49297.2020.00036","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00036","url":null,"abstract":"We present an algorithm for compiling arbitrary unitaries into a sequence of gates native to a quantum processor. As CNOT gates are error-prone for the foreseeable Noisy-Intermediate-Scale Quantum devices era, our A* inspired algorithm minimizes their count while accounting for connectivity. We discuss the formulation of synthesis as a search problem as well as an algorithm to find solutions. For a workload of circuits with complexity appropriate for the NISQ era, we produce solutions well within the best upper bounds published in literature and match or exceed hand tuned implementations, as well as other existing synthesis alternatives. In particular, when comparing against state-of-the-art available synthesis packages we show 2.4× average (up to 5.3×) reduction in CNOT count. We also show how to re-target the algorithm for a different chip topology and native gate set while obtaining similar quality results. We believe that tools like ours can facilitate algorithmic exploration and guide gate set discovery for quantum processor designers, as well as being useful for optimization in the quantum compilation tool-chain.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers","authors":"J. Doi, H. Horii","doi":"10.1109/QCE49297.2020.00035","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00035","url":null,"abstract":"Classical computers require large memory resources and computational power to simulate quantum circuits with a large number of qubits. Even supercomputers that can store huge amounts of data face a scalability issue in regard to parallel quantum computing simulations because of the latency of data movements between distributed memory spaces. Here, we apply a cache blocking technique by inserting swap gates in quantum circuits to decrease data movements. We implemented this technique in the open source simulation framework Qiskit Aer. We evaluated our simulator on GPU clusters and observed good scalability.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132995470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Noel De La Cruz, U. Paudel, P. Ionov, Ethan H. Tucker, A. Mollner, J. Touch, J. Betser, Joshua Stoermer
{"title":"Decoy-state quantum key distribution with direct modulated commercial off-the-shelf VCSEL lasers","authors":"Noel De La Cruz, U. Paudel, P. Ionov, Ethan H. Tucker, A. Mollner, J. Touch, J. Betser, Joshua Stoermer","doi":"10.1109/QCE49297.2020.00034","DOIUrl":"https://doi.org/10.1109/QCE49297.2020.00034","url":null,"abstract":"We report on a BB84 decoy-state quantum key distribution (QKD) system constructed using commercial off-the-shelf (COTS) components. Four 794 nm vertical-cavity surface-emitting lasers (VCSELs) are current-modulated at 10 MHz rate with three power levels to form a decoy state transmitter. The COTS VCSELs exhibit long term stability with high polarization extinction ratio, narrow band operation (sub-nanometer bandwidth), and wavelength tunability and stability suitable for constructing four indistinguishable qubit channels. A 780 nm, 10 MHz time-transfer channel is used for transferring the timing information along with a start and end marker for the qubit transfer period. Internally-developed transmitter laser drivers and receiver detectors are controlled and read out with COTS system-on-chip (SoC) boards. We obtain a nominal bit-error-rate (BER) of ~4% for the system. We also report on the development of a synchronous (100 MHz) single photon detector for increasing the repetition rate of our QKD system. This work shows promise for building a COTS-based, small size, weight, and power hardware for space applications.","PeriodicalId":224038,"journal":{"name":"2020 IEEE International Conference on Quantum Computing and Engineering (QCE)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}