A quantum machine may solve some complex problems that are intractable for even the most powerful classical computers. By exploiting quantum superposition and entanglement phenomena, quantum algorithms can achieve from polynomial to exponential speed up when compared to their best classical counterparts. A quantum computer will be a part of a heterogeneous, multi-core computer in which a classical processor will interact with several accelerators such as FPGAs, GPUs and also a quantum co-processor. Figure 1 shows the different layers of the quantum computer system stack [1]. Building such a quantum system requires contributions from different fields such as physics, electronics, computer science and computer engineering for addressing the following challenges: i) build scalable quantum chips integrating qubits with long coherence times and high-fidelity operations, ii) develop classical control electronics at possibly cryogenic temperatures and iii) create the microarchitecture as well as the software for quantum computation.

Original languageEnglish
Title of host publicationProceedings - 2018 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages1
ISBN (Electronic)978-1-5386-5291-6
DOIs
Publication statusPublished - 2018
Event13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018 - Taormina, Italy
Duration: 10 Apr 201812 Apr 2018

Conference

Conference13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018
CountryItaly
CityTaormina
Period10/04/1812/04/18

    Research areas

  • Quantum computing, Cryogenics, Quantum entanglement, Buildings, Coherence, Temperature control, Microarchitecture

ID: 46784475