Welcome to the Quantum Realm. 

Sundays are for sipping coffee, light reads, laid-back listens, and community endeavors.

Happy Father’s Day to all the dads out there!

🗓️ THIS WEEK

Monday, June 16 - Tuesday June 17 | D-Wave Qubits Conference (Boston, MA)

Sunday, June 23 | QTM-X Quantum Education Series 5 of 10: Quantum Hardware

📰 WEEKEND BYTES

Fun news & community contributions.

🌈 New Metaphors for New Technologies: Quantum computing operates on probabilities, not binary states, making traditional metaphors inadequate. A better comparison is to a kaleidoscope, where rotating elements create ever-changing patterns, similar to how quantum computations produce varied solutions.

🎶 The Music of Computation: In "Oppenheimer," Niels Bohr emphasizes understanding algebra like hearing music. Similarly, the author visualizes computers as living entities processing information, extending this computational perspective to various phenomena, from mailing letters to translating languages, revealing the beauty and complexity of computation.

🗝️ Speeding Up Quantum Encryption with Qiskit Runtime: Alain Chancé has been awarded the "Published Author-Publications Claimed" badge by IEEE for the publication of his paper which demonstrates the implementation of Kuang and Barbeau’s Quantum Permutation Pad cryptographic algorithm using IBM's Qiskit Runtime for efficient encryption and decryption of text and image files on noisy quantum computers. Check out his GitHub here for companion Jupyter notebooks.

🐲 A Song of Quantum and Fire: The first full-length edition of The Quantum Dragon features a range of content: experience quantum computing through dance, jam to quantum-composed music, and laugh at witty takes on quantum-themed products. Plus, industry reviews, humorous analogies, and resources on quantum software, Shor’s Algorithm, and Majorana qubits. From Brian Siegelwax’s Substack.

🍎 Quantum Computing 101: In an 80-minute session, Dr. Patrick Glauner introduces first-year Algorithms and Data Structures students at Deggendorf Institute of Technology to Quantum Computing. From this, first-year students may begin to grasp the fundamentals of quantum computing and its impact on computational complexity.

Check out the tutorial here:

🔓️ Unlocking Quantum: César Rodríguez discusses the untapped potential of quantum computing and its promise to revolutionize technology. This episode covers everything from the basics of quantum mechanics to the latest advancements in error correction (and a whole lot in between).

Check it out here:

🔊 VOLUME ON

The Superposition Guy’s Podcast

On this past week’s episode of the Superposition Guy’s Podcast, Yuval Boger interviews Dominik Ulmer, Chief Quantum Solutions Officer of ParTec AG.

Dominik Ulmer discusses the company's transition from traditional HPC software to hybrid classical-quantum systems. Ulmer highlights the importance of minimizing new infrastructure requirements, utilizing emulators, and supporting hybrid on-premises and cloud integration. He also shares ParTec's plans for a Quantum Workbench and their physical integration lab.

Quantum Tech Pod

On this past week’s episode of the Quantum Tech Pod, Christopher Bishop interviews Enrique Lizaso Olmos, Founder and CEO of Multiverse Computing.

Enrique Lizaso Olmos has an extensive background in mathematics, biostatistics, and finance, and transitioned from Deputy CEO at Unnim Bank to quantum computing.

Enrique co-founded Multiverse Computing in 2019, focusing on quantum solutions for finance, such as portfolio optimization and Monte Carlo simulations. Multiverse Computing is now the largest quantum computing software company in the EU and hosts the Singularity platform, which supports various qubit modalities and offers both quantum-inspired and pure quantum solutions.

🔊 TDQ Exchange

Is there someone within the community you’d like to see highlighted?

👩‍💻 CODE CHRONICLES

New CUDA-Q Tutorial: QAOA for Max Cut

Optimization and Max Cut are highly relevant to quantum computing because they represent a class of complex problems that quantum algorithms, like QAOA, can potentially solve more efficiently than classical methods.

These problems have wide-ranging applications, including machine learning, financial modeling, and network design, making advancements in quantum optimization particularly impactful across various industries.

Key Features:

• Graph representation: Use of bitstrings to identify graph partitions and visualize optimal and non-optimal cuts

• Graph data coding: Instructions to code graph nodes and edges as lists of integers for use in QAOA implementation

• QAOA circuit structure: Description of the variational quantum circuit, including layers made up of problem and mixer kernels

• Hamiltonian for Max Cut: Formulation of the Hamiltonian to represent the Max Cut problem in a quantum framework

• Classical optimization: Use of classical optimizers to minimize the cost function and find optimal parameters for the QAOA circuit

• Practical implementation: Step-by-step code examples using CUDA-Q to implement and optimize the QAOA circuit for the Max Cut problem

• Optimal parameters and results: Methods to read out partitioning results and identify the most likely outcomes using the sample primitive

🦸‍♀️ ON THE SHOULDERS OF GIANTS

UNTIL TOMORROW.