# Quantum News Highlights for November 14, 2023
The quantum technology landscape continues to evolve rapidly, with significant advancements in quantum computing, cryptography, and networking. November 14, 2023, marks a day of notable developments in the quantum industry, with breakthroughs in photonic chip manufacturing, post-quantum cryptography, machine learning integration, neutral-atom quantum computing, and quantum networking. Below are the key highlights from the day:
## 1. **Quantum Computing Inc. Receives First Order for TFLN Photonic Chip Foundry**
Quantum Computing Inc. (QCI), a leader in quantum computing solutions, has announced its first order for its Thin-Film Lithium Niobate (TFLN) photonic chip foundry. This milestone represents a significant step forward in the development of photonic quantum computing, which leverages light particles (photons) to perform quantum operations.
TFLN technology is known for its high-speed, low-loss, and scalable properties, making it a promising platform for quantum information processing. The foundry will enable the production of photonic chips that can be used in quantum communication, sensing, and computing applications. This order signals growing demand for photonic quantum technologies, which are seen as a key component in the future of quantum computing due to their potential for faster and more energy-efficient processing.
## 2. **NIST Publishes Draft on Post-Quantum Cryptography Standards**
The National Institute of Standards and Technology (NIST) has published a draft of its much-anticipated post-quantum cryptography (PQC) standards. These standards are designed to protect digital communications from the threat posed by quantum computers, which could potentially break current cryptographic algorithms.
NIST has been working on PQC standards since 2016, and the draft represents a major step toward finalizing the algorithms that will secure data in the quantum era. The draft includes recommendations for cryptographic algorithms that are resistant to attacks from both classical and quantum computers. The publication of this draft is a critical milestone in ensuring that governments, businesses, and individuals can transition to quantum-safe encryption methods before large-scale quantum computers become a reality.
## 3. **Multiverse Computing Introduces Machine Learning Tool in IBM’s Qiskit**
Multiverse Computing, a quantum software company specializing in financial applications, has introduced a new machine learning tool within IBM’s Qiskit framework. Qiskit is an open-source quantum computing software development kit (SDK) that allows users to create and run quantum algorithms on IBM’s quantum computers.
The new tool from Multiverse Computing integrates quantum machine learning (QML) capabilities into Qiskit, enabling users to leverage quantum algorithms for complex data analysis tasks. This development is particularly significant for industries such as finance, where machine learning is used for tasks like risk assessment, fraud detection, and portfolio optimization. By incorporating quantum machine learning into Qiskit, Multiverse Computing is helping to bridge the gap between classical and
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