Abstract
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 language | English |
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Title of host publication | Proceedings - 2018 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 1 |
ISBN (Electronic) | 978-1-5386-5291-6 |
DOIs | |
Publication status | Published - 2018 |
Event | 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018 - Taormina, Italy Duration: 10 Apr 2018 → 12 Apr 2018 |
Conference
Conference | 13th IEEE International Conference on Design and Technology of Integrated Systems In Nanoscale Era, DTIS 2018 |
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Country/Territory | Italy |
City | Taormina |
Period | 10/04/18 → 12/04/18 |
Keywords
- Quantum computing
- Cryogenics
- Quantum entanglement
- Buildings
- Coherence
- Temperature control
- Microarchitecture