scholarly journals Quantum cryptography needs a reboot: A failed security product could someday power large-scale quantum computing - [News]

IEEE Spectrum ◽  
2019 ◽  
Vol 56 (10) ◽  
pp. 9-10
Author(s):  
Mark Anderson
Keyword(s):  
Quantum Computing ◽  
Quantum Cryptography ◽  
Large Scale

Unsettled Topics Concerning the Impact of Quantum Technologies on Automotive Cybersecurity

2020 ◽  
Author(s):  
Joachim Taiber ◽  
Keyword(s):  
Quantum Computing ◽  
Quantum Cryptography ◽  
Research Report ◽  
Quantum Computers ◽  
Encrypted Data ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
Post Quantum Cryptography ◽  
Vehicle Sensors ◽  
The Impact

Quantum computing is considered the “next big thing” when it comes to solving computational problems impossible to tackle using conventional computers. However, a major concern is that quantum computers could be used to crack current cryptographic schemes designed to withstand traditional cyberattacks. This threat also impacts future automated vehicles as they become embedded in a vehicle-to-everything (V2X) ecosystem. In this scenario, encrypted data is transmitted between a complex network of cloud-based data servers, vehicle-based data servers, and vehicle sensors and controllers. While the vehicle hardware ages, the software enabling V2X interactions will be updated multiple times. It is essential to make the V2X ecosystem quantum-safe through use of “post-quantum cryptography” as well other applicable quantum technologies. This SAE EDGE™ Research Report considers the following three areas to be unsettled questions in the V2X ecosystem: How soon will quantum computing pose a threat to connected and automated vehicle technologies? What steps and measures are needed to make a V2X ecosystem “quantum-safe?” What standardization is needed to ensure that quantum technologies do not pose an unacceptable risk from an automotive cybersecurity perspective?

scholarly journals Quantum learning with noise and decoherence: a robust quantum neural network

2019 ◽  
Author(s):  
Elizabeth Behrman ◽  
Nam Nguyen ◽  
James Steck
Keyword(s):  
Neural Network ◽  
Quantum Computing ◽  
Large Scale ◽  
Learning Approaches ◽  
Quantum Neural Network ◽  
Quantum Learning ◽  
Learning With Noise ◽  
Robustness To Noise ◽  
Robust To Noise ◽  
Arbitrary Quantum

<p>Noise and decoherence are two major obstacles to the implementation of large-scale quantum computing. Because of the no-cloning theorem, which says we cannot make an exact copy of an arbitrary quantum state, simple redundancy will not work in a quantum context, and unwanted interactions with the environment can destroy coherence and thus the quantum nature of the computation. Because of the parallel and distributed nature of classical neural networks, they have long been successfully used to deal with incomplete or damaged data. In this work, we show that our model of a quantum neural network (QNN) is similarly robust to noise, and that, in addition, it is robust to decoherence. Moreover, robustness to noise and decoherence is not only maintained but improved as the size of the system is increased. Noise and decoherence may even be of advantage in training, as it helps correct for overfitting. We demonstrate the robustness using entanglement as a means for pattern storage in a qubit array. Our results provide evidence that machine learning approaches can obviate otherwise recalcitrant problems in quantum computing. </p> <p> </p>

Quantum Cryptography Key Distribution

2021 ◽  
pp. 325-344
Author(s):  
Bhanu Chander
Keyword(s):  
Quantum Mechanics ◽  
Information Transmission ◽  
Quantum Cryptography ◽  
Quantum Physics ◽  
Large Scale ◽  
Key Distribution ◽  
Computing Power ◽  
Contemporary State ◽  
Quantum Resistant Cryptography ◽  
Quantum Protocol

Quantum cryptography is actions to protect transactions through executing the circumstance of quantum physics. Up-to-the-minute cryptography builds security over the primitive ability of fragmenting enormous numbers into relevant primes; however, it features inconvenience with ever-increasing machine computing power along with current mathematical evolution. Among all the disputes, key distribution is the most important trouble in classical cryptography. Quantum cryptography endows with clandestine communication by means of offering a definitive protection statement with the rule of the atmosphere. Exploit quantum mechanics to cryptography can be enlarging unrestricted, unfailing information transmission. This chapter describes the contemporary state of classical cryptography along with the fundamentals of quantum cryptography, quantum protocol key distribution, implementation criteria, quantum protocol suite, quantum resistant cryptography, and large-scale quantum key challenges.

Promising routes to large-scale photonic quantum computing

Scilight ◽  
2019 ◽  
Vol 2019 (24) ◽  
pp. 240007
Author(s):  
Meeri Kim
Keyword(s):  
Quantum Computing ◽  
Large Scale

scholarly journals Generation of time-domain-multiplexed two-dimensional cluster state

Science ◽  
2019 ◽  
Vol 366 (6463) ◽  
pp. 373-376 ◽  
Author(s):  
Warit Asavanant ◽  
Yu Shiozawa ◽  
Shota Yokoyama ◽  
Baramee Charoensombutamon ◽  
Hiroki Emura ◽  
...  
Keyword(s):  
Quantum Computing ◽  
Large Scale ◽  
Cluster State ◽  
Continuous Variable ◽  
Error Correcting Codes ◽  
Square Lattice ◽  
Two Dimensional ◽  
Report Generation ◽  
Cluster States ◽  
Variable Cluster

Entanglement is the key resource for measurement-based quantum computing. It is stored in quantum states known as cluster states, which are prepared offline and enable quantum computing by means of purely local measurements. Universal quantum computing requires cluster states that are both large and possess (at least) a two-dimensional topology. Continuous-variable cluster states—based on bosonic modes rather than qubits—have previously been generated on a scale exceeding one million modes, but only in one dimension. Here, we report generation of a large-scale two-dimensional continuous-variable cluster state. Its structure consists of a 5- by 1240-site square lattice that was tailored to our highly scalable time-multiplexed experimental platform. It is compatible with Bosonic error-correcting codes that, with higher squeezing, enable fault-tolerant quantum computation.

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