NISQ+: Boosting quantum computing power by approximating quantum error correction

@article{Holmes2020NISQBQ,
  title={NISQ+: Boosting quantum computing power by approximating quantum error correction},
  author={Adam Holmes and Mohammad Reza Jokar and Ghasem Pasandi and Yongshan Ding and Massoud Pedram and Frederic T. Chong},
  journal={2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)},
  year={2020},
  pages={556-569}
}
  • Adam Holmes, M. Jokar, +3 authors F. Chong
  • Published 9 April 2020
  • Computer Science, Physics
  • 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)
Quantum computers are growing in size, and design decisions are being made now that attempt to squeeze more computation out of these machines. In this spirit, we design a method to boost the computational power of nearterm quantum computers by adapting protocols used in quantum error correction to implement “Approximate Quantum Error Correction (AQEC):” By approximating fully-fledged error correction mechanisms, we can increase the compute volume (qubits $\times$ gates, or “Simple Quantum… Expand
QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code
TLDR
An online-QEC algorithm and its hardware implementation with SFQ based superconducting digital circuits is proposed and a key building block of the proposed hardware with an SFQ cell library is designed and evaluated by the SPICE-level simulation. Expand
Practical Quantum Computing: The value of local computation.
TLDR
This paper discusses three key bottlenecks in near-term quantum computers: bandwidth restrictions arising from data transfer between central processing units (CPUs) and quantumprocessing units (QPUs), latency delays in the hardware for round-trip communication, and timing restrictions driven by high error rates. Expand
Quantum DevOps: Towards Reliable and Applicable NISQ Quantum Computing
TLDR
The need for the novel concept of Quantum DevOps is described and motivated, which entails regular checking of the reliability of NISQ Quantum Computing (QC) instances, to select the best matching (cloud) QC instance and having it integrated directly with the processes of development, testing and finally the operations of quantum based algorithms and systems enables the Quantum Dev Ops concept. Expand
LILLIPUT: A Lightweight Low-Latency Lookup-Table Based Decoder for Near-term Quantum Error Correction
  • Poulami Das, A. Locharla, Cody Jones
  • Computer Science, Physics
  • ArXiv
  • 2021
TLDR
To enable real-time decoding in near-term QEC, LILLIPUT– a Lightweight Low Latency Look-Up Table decoder is proposed, which tolerates an error on any operation in the quantum hardware, including gates and measurement, and the number of tolerated errors grows with the size of the code. Expand
A scalable and fast artificial neural network syndrome decoder for surface codes
TLDR
The development of an artificial neural network (ANN) based scalable and fast syndrome decoder capable of decoding surface codes of arbitrary shape and size with data qubits suffering from the depolarizing error model is reported. Expand
Superconducting quantum computer: a hint for building architectures
TLDR
The three-Y’s: regularity, modularity, and hierarchy to an architecture design of superconducting quantum computers, and a stacked heterogeneous structure of the quantum module are introduced. Expand
Superconducting Computing with Alternating Logic Elements
Although superconducting single flux quantum (SFQ) technologies offer the potential for low-latency operation with energy dissipation of the order of attojoules per gate, their inherentlyExpand
Noise-Aware Quantum Amplitude Estimation
In this paper we derive from simple and reasonable assumptions a Gaussian noise model for NISQ Quantum Amplitude Estimation (QAE). We provide results from QAE run on various IBM superconductingExpand
Quantum error mitigation as a universal error-minimization technique: applications from NISQ to FTQC eras
Yasunari Suzuki, 2, ∗ Suguru Endo, † Keisuke Fujii, 4, 5 and Yuuki Tokunaga ‡ NTT Computer and Data Science Laboratories, NTT Corporation, Musashino 180-8585, Japan JST, PRESTO, 4-1-8 Honcho,Expand
Semantic Convolutional Neural Network model for Safe Business Investment by Using BERT
  • Maryam Heidari, S. Rafatirad
  • Computer Science
  • 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
  • 2020
TLDR
This work uses a natural language processing approach to propose a new real estate investment model based on online textual information and applies a transfer learning approach based on multiple online resources to recognize the house as valuable rental property in the real estate market. Expand
...
1
2
...

References

SHOWING 1-10 OF 70 REFERENCES
Taming the Instruction Bandwidth of Quantum Computers via Hardware-Managed Error Correction
TLDR
It is shown that 99.999% of the instructions in the instruction stream of a typical quantum workload stem from error correction, and an architecture that delegates the task of quantum error correction to the hardware is proposed, QuEST (Quantum Error-Correction Substrate), which reduces instruction bandwidth demand of several key workloads by ftve orders of magnitude. Expand
State preservation by repetitive error detection in a superconducting quantum circuit
TLDR
The protection of classical states from environmental bit-flip errors is reported and the suppression of these errors with increasing system size is demonstrated, motivating further research into the many challenges associated with building a large-scale superconducting quantum computer. Expand
Parallel entangling operations on a universal ion-trap quantum computer
TLDR
Parallel two-qubit entangling gates are realized in an array of fully connected trapped-ion qubits, achieving a full-adder operation on a quantum processor with an average fidelity of 83.3 per cent. Expand
Quantum Volume
As we build larger quantum computing devices capable of performing more complicated algorithms, it is important to quantify their power. The origin of a quantum computer’s power is already subtle,Expand
Superconducting quantum circuits at the surface code threshold for fault tolerance
TLDR
The results demonstrate that Josephson quantum computing is a high-fidelity technology, with a clear path to scaling up to large-scale, fault-tolerant quantum circuits. Expand
Implications of electronics constraints for solid-state quantum error correction and quantum circuit failure probability
In this paper we present the impact of classical electronics constraints on a solid-state quantum dot logical qubit architecture. Constraints due to routing density, bandwidth allocation, signalExpand
Topological quantum memory
We analyze surface codes, the topological quantum error-correcting codes introduced by Kitaev. In these codes, qubits are arranged in a two-dimensional array on a surface of nontrivial topology, andExpand
Topological code Autotune
TLDR
Autotune is designed to facilitate the precise study of real hardware running TQEC with every quantum gate having a realistic, physics-based error model, and is described a tool Autotune capable of performing this optimization automatically. Expand
Almost-linear time decoding algorithm for topological codes
In order to build a large scale quantum computer, one must be able to correct errors extremely fast. We design a fast decoding algorithm for topological codes to correct for Pauli errors and erasureExpand
Quantum Computing in the NISQ era and beyond
TLDR
Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future, and the 100-qubit quantum computer will not change the world right away - but it should be regarded as a significant step toward the more powerful quantum technologies of the future. Expand
...
1
2
3
4
5
...