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R&D 100, 2016: T-Quake – Quantum-Mechanical Transmitter/Receiver Microchip

Anna Tauke‐Pedretti, Ryan M. Camacho, Gayle Echo Thayer

Published Nov 7, 2016• 0 citations
OpenAlex

Abstract

Applying advanced microfabrication techniques and innovative microdesign, the Sandia Enabled Communications and Authentication Network (SECANT) team has designed and produced photonic microchips capable of sending, receiving, and processing quantum signals for applications in cyber and physical security.

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QUANTUM SECURE EMAIL CLIENT APPLICATION

P. Aravind Yallapragada Naga Sai Padma Sri

The rapid growth of digital communication has increased the need for highly secure email systems capable of protecting sensitive information from evolving cyber threats. Traditional encryption techniques such as RSA and ECC are becoming vulnerable due to advancements in quantum computing, which can potentially break conventional cryptographic algorithms. To address these challenges, this project proposes a Quantum Secure Email Client Application that integrates post-quantum cryptography (PQC) techniques to ensure end-to-end secure communication. The proposed system employs quantum-resistant encryption algorithms such as lattice-based cryptography, hash-based signatures, or code-based encryption to secure email content, attachments, and user authentication processes. The email client ensures that messages are encrypted before transmission and can only be decrypted by the intended recipient, thereby preventing unauthorized access, interception, and data leakage. Additionally, the system incorporates secure key exchange mechanisms resistant to quantum attacks, ensuring safe communication even in the presence of quantum adversaries. The user interface is designed to be simple and user-friendly, allowing seamless sending and receiving of secure emails without requiring deep technical knowledge. The application enhances confidentiality, integrity, and authentication in email communication, making it suitable for defense, banking, healthcare, and government sectors where data security is critical. By integrating quantum-safe cryptographic techniques, the system provides a future-ready solution that safeguards communication against both classical and quantum computing threats.

International Journal of Engineering Research and Science & Technology•May 28, 2026•0 citations

Network-ready quantum communication transceivers using hybrid integration

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Using hybrid integration, we overcome usual limitations inherent to specific photonic integration materials and produce high performance quantum transceivers. We measure exceptionally low quantum bit error rates over high channel loss and demonstrate real-world chip-to-chip quantum secure communications over distances beyond the 200 km range.

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Quantum-Enhanced Protection Of Healthcare Data In Medical Cyber-Physical Systems With Deep Convolutional Neural Networks

Piyush P Gawali, Dattatray G Takale, Parikshit N. Mahalle, Bipin Sule, Tushar Jadhav, Chitrakant O. Banchhor, Omkaresh Kulkarni, Rahul Patil

The advancements in quantum computing and deep learning algorithms may help establish a suitable technique to safeguard the health information stored in MCPSs against cyber risks. Based on this background, the following is a research study recommendation that will assist in evaluating and investigating the application of quantum computing and DCNNs for securing MCPS healthcare data. Considering the growing potential of such damaging cyber threats, discussing the necessity of security would be essential. We then briefly give an overview of quantum computing and DCNN's security capabilities. The following section proposes an innovative architecture incorporating QKD for secure networking and DCNNs to detect oddities and threats in MCPS. Here are four essential management and exchange systems relevant to using quantum ideas to authenticate and protect health records. Furthermore, this paper presents a lightweight mutual identification establishment algorithm capable of improving access control and authorization within MCPS. To justify the efficiency of the present design, we simulated the system and compared our proposed solution with the benchmarks to show the improvement in data security and threat detection. Therefore, our study also shows that improving the security of MCPS for healthcare systems is feasible by applying QE and increasing the structures' resistance in healthcare networks.

Frontiers in Health Informatics•Dec 6, 2024•0 citations

Making robust integrated photonic qubits

High-performance photonic integrated chips have been demonstrated that generate robust optical quantum bits called Gottesman–Kitaev–Preskill qubits. One such chip has been used to realize qubit states, reconstruct the quantum features of these states and verify the quality of the qubits. An innovative chip has structural features that are crucial for future fault-tolerant quantum computers.

Nature•Jun 4, 2025•0 citations

DeepQ-MIMO: A Deep-Learned Quantum MIMO System With Rydberg Atomic Receiver in IoT

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Rydberg atomic receiver has recently emerged as a breakthrough technology for sensing and communications in next-generation Internet-of-Things (IoT) owing to its potential to surpass sensitivity limits of classical radio frequency (RF) receivers. In this paper, we consider a multiple-input multiple-output (MIMO) system with an RF transmitter and a Rydberg atomic receiver. Unlike prior works, a key technical innovation of our approach lies in the joint optimization of both transmit and receive processing techniques along with the design of reference signal injection according to a mean square error (MSE) criterion for signal recovery. However, the design problem is nonconvex on account of phase information loss in the received signal and nonlinearity of the objective function. To overcome this tricky challenge in an effective and intelligent manner, we propose a novel and high-performing deep learning (DL) framework calledDeepQ-MIMObased on the construction of an advanced DL network with innovative customization mechanisms. Numerical results confirm the supremacy and efficacy of the proposed DeepQ-MIMO system, and further provide useful design insights.

IEEE Internet of Things Journal•Jan 5, 2026•0 citations

Silicon photonics quantum technologies

Jianwei Wang

On-chip generation, manipulation and detection quantum states of light with integrated photonic circuits opens the way to realizing complex quantum technologies for applications in the fields of computing, simulation and communication. In this talk we present recent progress in how to generate and control quantum entanglement with silicon quantum photonic devices for quantum information processing.

Quantum Computing, Communication, and Simulation•Mar 7, 2022•0 citations
The rapid growth of digital communication has increased the need for highly secure email systems capable of protecting sensitive information from evolving cyber threats. Traditional encryption techniques such as RSA and ECC are becoming vulnerable due to advancements in quantum computing, which can potentially break conventional cryptographic algorithms. To address these challenges, this project proposes a Quantum Secure Email Client Application that integrates post-quantum cryptography (PQC) techniques to ensure end-to-end secure communication. The proposed system employs quantum-resistant encryption algorithms such as lattice-based cryptography, hash-based signatures, or code-based encryption to secure email content, attachments, and user authentication processes. The email client ensures that messages are encrypted before transmission and can only be decrypted by the intended recipient, thereby preventing unauthorized access, interception, and data leakage. Additionally, the system incorporates secure key exchange mechanisms resistant to quantum attacks, ensuring safe communication even in the presence of quantum adversaries. The user interface is designed to be simple and user-friendly, allowing seamless sending and receiving of secure emails without requiring deep technical knowledge. The application enhances confidentiality, integrity, and authentication in email communication, making it suitable for defense, banking, healthcare, and government sectors where data security is critical. By integrating quantum-safe cryptographic techniques, the system provides a future-ready solution that safeguards communication against both classical and quantum computing threats.
The advancements in quantum computing and deep learning algorithms may help establish a suitable technique to safeguard the health information stored in MCPSs against cyber risks. Based on this background, the following is a research study recommendation that will assist in evaluating and investigating the application of quantum computing and DCNNs for securing MCPS healthcare data. Considering the growing potential of such damaging cyber threats, discussing the necessity of security would be essential. We then briefly give an overview of quantum computing and DCNN's security capabilities. The following section proposes an innovative architecture incorporating QKD for secure networking and DCNNs to detect oddities and threats in MCPS. Here are four essential management and exchange systems relevant to using quantum ideas to authenticate and protect health records. Furthermore, this paper presents a lightweight mutual identification establishment algorithm capable of improving access control and authorization within MCPS. To justify the efficiency of the present design, we simulated the system and compared our proposed solution with the benchmarks to show the improvement in data security and threat detection. Therefore, our study also shows that improving the security of MCPS for healthcare systems is feasible by applying QE and increasing the structures' resistance in healthcare networks.
Rydberg atomic receiver has recently emerged as a breakthrough technology for sensing and communications in next-generation Internet-of-Things (IoT) owing to its potential to surpass sensitivity limits of classical radio frequency (RF) receivers. In this paper, we consider a multiple-input multiple-output (MIMO) system with an RF transmitter and a Rydberg atomic receiver. Unlike prior works, a key technical innovation of our approach lies in the joint optimization of both transmit and receive processing techniques along with the design of reference signal injection according to a mean square error (MSE) criterion for signal recovery. However, the design problem is nonconvex on account of phase information loss in the received signal and nonlinearity of the objective function. To overcome this tricky challenge in an effective and intelligent manner, we propose a novel and high-performing deep learning (DL) framework calledDeepQ-MIMObased on the construction of an advanced DL network with innovative customization mechanisms. Numerical results confirm the supremacy and efficacy of the proposed DeepQ-MIMO system, and further provide useful design insights.