Table of Contents

• 👩‍💻 Brief Bytes: The news you want, quickly

• 🔬 Research Spotlight: Today's top research

• 📚 Entangled Insights: Level up your skills

• 📅 Events: Webinars, Conferences, Hackathons

• 💼 Jobs: In & Around Quantum

• 🗳️ Survey: Tell Us What You Think!

• 😎 Share: Tell Your Friends We're Cool

QUANTUM PULSE

BRIEF BYTES

• ETH Zurich is here to play. Their recent advances include a microfabricated chip ion trap using static electric and magnetic fields, enabling more qubits and flexible ion transport.

• D-Wave Quantum Inc. retains its crown with reports on significant year-over-year growth: 21% increase in Q4 revenue and an 89% surge in annual bookings

• QC coming to a spa near you? The McWhorter Family Trust is making big promises to integrate quantum computing into luxury wellness resorts 

• Groundbreaking experiment marks a significant step towards the development of integrated photonic quantum processors 

• NLP got an upgrade: this paper on quantum natural language processing introduces a novel quantum text encoding method 

RESEARCH SPOTLIGHT

Remote-Entanglement Protocols for Stationary Qubits with Photonic Interfaces

🧪 Tell Me Quickly: This study presents a framework for understanding and developing photon-mediated remote-entanglement protocols.

🧪 The How:

• Researchers introduce a modular theoretical framework to explore the mechanisms of photon-mediated entanglement generation between single spins in atomic or solid-state systems.

• This framework categorizes protocols (A, B, or C) at various abstraction levels, allowing for the integration of elements from different schemes.

• It also facilitates protocol comparison across different quantum hardware through simulations — access GitHub repo here

🧪 The Why: Researchers can use this framework to design more efficient entanglement generation methods, tailor protocols to specific quantum systems, and overcome the challenges posed by system imperfections and environmental noise.

QUANTUM LAB

ENTANGLED INSIGHTS

This Week: Representing Noise with Cirq

Quantum computing simulators, such as Google's open-source Cirq, are essential tools for testing algorithms, enhancing the understanding of quantum mechanics, and optimizing quantum circuits without the need for hardware. They are particularly valuable for simulating real-world, noisy conditions that reflect the environmental interference and qubit quality limitations faced by actual quantum systems.

Today, we'll demonstrate simulating bit flip errors with Cirq, which arise from factors like environmental noise and hardware imperfections, causing qubits to switch between their binary states.

# Define a line qubit

q0 = cirq.LineQubit(0)

# Create circuit with bit flip noise with 10% chance of bit flip, measure qubit state and assign to 'results'

#TIP: Vary probability based on expected hardware conditions for best results

circuit = cirq.Circuit(cirq.bit_flip(p=0.1).on(q0),cirq.measure(q0, key = 'results'))

# Simulate the circuit with reproducibility, execute simulation 500 times

#TIP: Increase number of simulations for a clearer picture of expected results. 100 - 500 might be best for rapid prototyping where computational resources are limited

results = cirq.Simulator(seed=0).run(circuit, repetitions=500)

# Create a histogram with results to see distribution of measurement outcomes

print(results.histogram(key='results'))

More noise representation breakdowns coming this week!

QUANTUM HAPPENINGS

EVENTS

• Tuesday, April 2 | The Quantum Era is Now! by Tech Up For Women and IonQ

• Friday, April 5 | Quantum Computing vs Cybersecurity by Quarks Interactive & OctogonHUB

• Sunday, April 7 | FREE Quantum Computing Workshop by Classiq

• Now - April 21 | Register for NATO Women & Girls in Science Challenge

• Now - April 30 | Register for Airbus & BMW Quantum Computing Challenge

• Now - May 31 | Register for Google/X-Prize Quantum Challenge

JOBS

• Brookhaven National Laboratory Research Associate for Electron Microscopy of Quantum Materials | Upton, NY $70K - $90K

• USRA Associate Scientist | Mountain View, CA

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