# Quantum Computing Algorithms and Architecture

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/quantum-computing-algorithms-and-architecture/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers represents a wide range of advancements in quantum computing and simulation, covering topics such as fault-tolerant quantum computation, quantum machine learning, adiabatic quantum computation, quantum error correction, and topological quantum memory. The research also delves into quantum algorithms, variational quantum algorithms, and quantum simulation of various systems. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10682 |
| Works | 30 |

## Topic papers all

Showing 15 of 30.

- [Quantum circuit learning](https://scholariq.org/papers/quantum-circuit-learning/)
- [Measurement-driven entanglement transition in hybrid quantum circuits](https://scholariq.org/papers/measurement-driven-entanglement-transition-in-hybrid-quantum-circuits/)
- [Quantum error correction below the surface code threshold](https://scholariq.org/papers/quantum-error-correction-below-the-surface-code-threshold/)
- [Quantum Computer Systems for Scientific Discovery](https://scholariq.org/papers/quantum-computer-systems-for-scientific-discovery/)
- [Quantum computing](https://scholariq.org/papers/quantum-computing/)
- [Surpassing the no-cloning limit with a heralded hybrid linear amplifier for coherent states](https://scholariq.org/papers/surpassing-the-no-cloning-limit-with-a-heralded-hybrid-linear-amplifier-for/)
- [Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer](https://scholariq.org/papers/approaching-remote-sensing-image-classification-with-ensembles-of-support-vector/)
- [Benchmarking Neural Networks For Quantum Computations](https://scholariq.org/papers/benchmarking-neural-networks-for-quantum-computations/)
- [Enhancing quantum teleportation efficacy with noiseless linear amplification](https://scholariq.org/papers/enhancing-quantum-teleportation-efficacy-with-noiseless-linear-amplification/)
- [Quantum-Inspired Optimization Algorithms for Scalable Machine Learning in Edge Computing](https://scholariq.org/papers/quantum-inspired-optimization-algorithms-for-scalable-machine-learning-in-edge/)
- [Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification](https://scholariq.org/papers/quantum-support-vector-machine-algorithms-for-remote-sensing-data-classification/)
- [Designing Asynchronous Circuits using NULL Convention Logic (NCL)](https://scholariq.org/papers/designing-asynchronous-circuits-using-null-convention-logic-ncl-2/)
- [Secure dynamic multiparty quantum private comparison](https://scholariq.org/papers/secure-dynamic-multiparty-quantum-private-comparison/)
- [Improved Dynamic Multi-Party Quantum Private Comparison for Next-Generation Mobile Network](https://scholariq.org/papers/improved-dynamic-multi-party-quantum-private-comparison-for-next-generation/)
- [Characterization of a measurement-based noiseless linear amplifier and its applications](https://scholariq.org/papers/characterization-of-a-measurement-based-noiseless-linear-amplifier-and-its/)

## Topic primary papers

- [Quantum circuit learning](https://scholariq.org/papers/quantum-circuit-learning/)
- [Quantum error correction below the surface code threshold](https://scholariq.org/papers/quantum-error-correction-below-the-surface-code-threshold/)
- [Quantum Computer Systems for Scientific Discovery](https://scholariq.org/papers/quantum-computer-systems-for-scientific-discovery/)
- [Quantum computing](https://scholariq.org/papers/quantum-computing/)
- [Benchmarking Neural Networks For Quantum Computations](https://scholariq.org/papers/benchmarking-neural-networks-for-quantum-computations/)
- [Quantum-Inspired Optimization Algorithms for Scalable Machine Learning in Edge Computing](https://scholariq.org/papers/quantum-inspired-optimization-algorithms-for-scalable-machine-learning-in-edge/)
- [Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification](https://scholariq.org/papers/quantum-support-vector-machine-algorithms-for-remote-sensing-data-classification/)
- [Qubit Inspired Neural Network towards Its Practical Applications](https://scholariq.org/papers/qubit-inspired-neural-network-towards-its-practical-applications/)
- [A Fast Algorithm for Synthesis of Quantum Reversible Logic Circuits](https://scholariq.org/papers/a-fast-algorithm-for-synthesis-of-quantum-reversible-logic-circuits/)
- [Secure keys data distribution based user-storage-transit server authentication process model using mathematical post-quantum cryptography methodology](https://scholariq.org/papers/secure-keys-data-distribution-based-user-storage-transit-server-authentication/)
- [Quantum Machine Learning of Bigdata Set Using Randomized Measurements](https://scholariq.org/papers/quantum-machine-learning-of-bigdata-set-using-randomized-measurements/)
- [Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation](https://scholariq.org/papers/bridging-classical-and-quantum-machine-learning-knowledge-transfer-from/)
- [ENHANCING QUANTUM CRYPTOGRAPHY WITH MACHINE AND DEEP LEARNING A HYBRID APPROACH FOR SECURE AND SCALABLE POST-QUANTUM SECURITY](https://scholariq.org/papers/enhancing-quantum-cryptography-with-machine-and-deep-learning-a-hybrid-approach/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.