In partnership with

🗓️ THIS WEEK

Wednesday, June 5 - Friday, June 14 | IBM Quantum Challenge 2024 — Register here!

Wednesday, June 5 | Quant Insights Conference: Quantum Computing in Quant Finance

Wednesday, June 5| Quantum Computing Workshop w/ Classiq

Thursday, June 6 | QaaS w/ Quantonix

Saturday, June 8 | Towards Practical Quantum Computing: Addressing Crosstalk and Circuit Optim w/ Washington DC Quantum Computing Meetup

Sunday, June 9 | QTM-X Weekly Quantum Education Session 3/10: Entanglement

📰 NEWS QUICK BYTES

📜 Internal Microsoft memo details quantum direction: Despite Azure cloud job cut announcements earlier this week, a leaked Microsoft memo shares the company will be increasing its investments in quantum computing as well as doubling down on R&D as a key part of its broader AI efforts

🔐 A quick review of the state of PQC: Last month, Zoom and Meta announced implementation of post-quantum cryptography following Apple's earlier deployment of PQ3. While current quantum computers can't break classical encryption, they pose a future threat through "harvest now, decrypt later" attacks. NIST is expected to finalize PQC standards soon. Plus, check out the next…

🔑 …Article from Quanta on the quantum cryptography revolution: Recent breakthroughs in quantum cryptography have been made possible by a series of research papers that have challenged previous assumptions about the limitations of quantum cryptography.

👻 And on that note, an interview between HPCWire and NIST: Dustin Moody breaks down the goal of NIST as well as the Migration to PQC project. While challenges lie ahead, the collaborative efforts of NIST, industry partners, and the wider cryptographic community are working tirelessly towards a secure and quantum-resistant future.

🤖 Watch this if you have 60 seconds to spare: A quick minute with Qiskit to calculate entanglement entropy.

📔 New PennyLane codebook modules: Quantum Fourier Transform, Quantum Phase Estimation, Shor's Algorithm

🕸️ Video short on Qunnect: As a quantum company specializing in quantum networks, Qunnect is leading the way in the development of applications beyond secure communications with their GothamQ network.

🤝 Today’s partnership announced: Through a combination of Mphasis' industry knowledge in IT with Classiq's quantum technology, the partnership will accelerate the adoption of quantum by providing tailored solutions for clients.

☕️ FRESHLY BREWED RESEARCH

Coupled cluster method tailored with quantum computing: A method is presented for improving the accuracy of quantum computations of chemical systems by combining quantum computing with classical coupled cluster theory. Breakdown here.

Coined Quantum Walk on a Quantum Network: A discrete-time quantum walk on a quantum network where the movement of the walker is determined by its interaction with qubits in the network is explored. Breakdown here.

Fault-tolerant quantum-dot cellular automata linear feedback shift register for nano communication applications: A fault-tolerant 5-input majority gate design for quantum dot cellular automata is presented and verified through physical proof and simulation under various defects. Breakdown here.

Generalized phase estimation in noisy quantum gates: An examination of noise's impact on the precision of quantum metrology using qubit gates reveals a non-monotonic behavior in the Quantum Fisher Information; optimal number of gate applications to maximize precision is identified.

Encoding lattice structures in Quantum Computational Basis States: A method is proposed to encode lattice structures into the computational basis states of qubits used in quantum computing. This encoding scheme is then demonstrated in the context of protein structure prediction.

Quantum-Social Network Analysis for Community Detection: A Comprehensive Review: The field of quantum social network analysis for community detection is reviewed by exploring quantum-inspired and hybrid approaches to improve upon traditional methods.

UNTIL TOMORROW.

BREAKDOWN

Coupled cluster method tailored with quantum computing

WHY: 

• Quantum chemistry simulations on quantum computers show promise but face a hurdle in terms of the limited number of qubits available on current and near-term quantum devices. A solution for this constraint is the use of active space approximations, which focus on the most chemically relevant electrons and orbitals while neglecting the weaker electron correlations from non-active orbitals. However, this can lead to inaccuracies in the simulation results.

• This study addresses this challenge by proposing a hybrid quantum-classical method called QC-CBT-TCC (quantum computing - computational basis tomography - tailored coupled cluster). This method combines the tailored coupled cluster classical theory with computational basis tomography to extract quantum states efficiently.

HOW: 

• A quantum computer is used to solve for the static electron correlation within the active space. This step can use quantum algorithms such as VQE, QPE, or quantum imaginary time evolution.

• The quantum state obtained from the quantum computer is extracted using computational basis tomography and then embedded into the coupled cluster ansatz within the framework of the TCC method to recover the dynamical electron correlation that was neglected in the active space approximation.

• An enhanced version of the method is also introduced: QC-CBT-TCC. This method further improves accuracy by using the direct access to the energy of the active space and adding the newly determined electron correlation outside the active space.

RESULTS: 

• The research demonstrates the effectiveness of the QC-CBT-TCC method by applying it to the calculation of potential energy curves for LiH, H2O, and N2 molecules. The results show that the method can accurately reproduce the PECs, even in cases where standard coupled cluster methods fail because of strong electron correlation.

• Overall, the QC-CBT-TCC method offers a practical approach to incorporate dynamical electron correlation into quantum chemistry simulations and in doing so, improve the accuracy of the results.

BREAKDOWN

Coined Quantum Walk on a Quantum Network

🔍 WHY: 

• Quantum walks have shown applicability for quantum computing applications including algorithm design, entanglement generation, and physical process simulation. However, traditional discrete-time coined quantum walks involve a passive underlying graph that only provides positions for the walker to move.

• This research introduces an approach where the quantum walk operates on a quantum network. This active participation of the quantum network leads to richer quantum behavior due to the coherent interaction between the walker and the network's quantum degrees of freedom.

🧪 HOW: 

• A coined quantum walk on a quantum network is explored where the walker's movement is determined by controlled-unitary interactions with the quantum network's qubits at each time step.

• The study focuses on a quantum network with initial entanglement along single edges, and it defines two notions of entanglement: initial network entanglement and bipartite network entanglement.

• Parameters analyzed include the quantum walk statistics, entanglement evolution, and interference among walk state amplitudes. Numerical simulations and analytical calculations are used to analyze the walk dynamics and its dependence on the initial network entanglement.

📊 RESULTS: 

• The initial entanglement in the quantum network significantly influences the quantum walk statistics. Higher initial network entanglement leads to increased localization of the walker's position around its starting point.

• The walk dynamics also generate quantum correlations between previously uncorrelated network qubits, and the asymptotic bipartite entanglement among network qubits increases with the initial network entanglement.

• These findings have potential applications in characterizing quantum network properties, particularly in probing entanglement properties like the average entanglement over network edges.

BREAKDOWN

Fault-tolerant quantum-dot cellular automata linear feedback shift register for nano communication applications

🔍 WHY: 

• Quantum-dot cellular automata is a nanotechnology for the next generation of computing devices. It offers advantages over traditional CMOS technology such as lower power consumption, faster switching speeds, and higher device density. This research addresses fault tolerance in QCA technology.

• As devices shrink to the nanoscale, the likelihood of defects increases. The development of fault-tolerant QCA circuits is necessary in order to build scalable quantum computing hardware.

• A 5-input majority gate that is fault-tolerant is proposed and simulated under various defect conditions. The authors also introduce a fault-tolerant linear feedback shift register constructed with QCA cells which is a significant contribution to the field of nanocommunication applications that use quantum computational algorithms.

🧪 HOW: 

• The QCA cell defects are intentionally introduced into the proposed structure.

• The fault-tolerant XOR gate and D flip flop are constructed using the proposed 5-input majority gate.

• Finally, a fault-tolerant LFSR is built with 435 QCA cells, and its resilience to defects is tested.

• The QCA Designer tool is used for simulation and analysis.

📊 RESULTS: 

• One of the key results of this research include the successful design and simulation of a fault-tolerant 5-input majority gate, XOR gate, D flip flop, and LFSR using QCA technology.

• The proposed structures shows resilience to various defects, including missing cells, extra cell deposition, cell displacement, and cell misalignment.

• The fault-tolerant LFSRdemonstrates the potential of QCA technology for building reliable quantum computing hardware.