1st lesson free
Sonny profile and its contact details have been verified by our experts
Sonny
- Rate R164
- Response 1h
-
Students2
Number of students Sonny has accompanied since joining Superprof
Number of students Sonny has accompanied since joining Superprof
R164/h
Contact
1st lesson free
- Physics
Quantum Reality - Full Stack AI enablement. GPU + Qubit + DWAVE -/+ IonQ π= Quantum Actuality
- Physics
Lesson location
Recommended
Sonny is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. A trusted partner on your learning journey.
About Sonny
Target Audience and Prerequisites
Audience:
Software engineers, data scientists, researchers, or students exploring quantum advantage in hybrid settings.
Prerequisites: Basic linear algebra, probability, Python programming. Familiarity with classical ML or HPC is helpful but not required.
No prior quantum experience needed—foundational modules build it.
Course Duration and Format
Length:
5 Student Minimum
2 one hour lectures with 1 hour Q&A weekly
12 weeks (or self-paced equivalent), with 4-6 hours/week.
- Format: Lectures + hands-on labs (using simulators and real cloud access via IonQ, Rigetti, or open platforms), assignments, and a capstone hybrid project.
-Tools/Platforms: Qiskit, Cirq, PennyLane (for hybrid differentiable programming), pyQuil/Forest (Rigetti), Ocean (D-Wave), Azure Quantum or Amazon Braket for hybrid sessions, classical HPC elements (e.g., GPU integration).
See more
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +7
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
MBA
- English
Languages in which the lesson is available :
English
Course Objectives
By the end of the course, participants will be able to:
- Explain core quantum principles (superposition, entanglement, measurement) and their limitations in real hardware.
- Design, simulate, and execute hybrid quantum-classical algorithms (e.g., variational quantum algorithms, quantum machine learning).
- Navigate the full quantum-classical stack: hardware control, compilers, runtime, middleware, and application layers.
- Integrate quantum backends (cloud or simulators) with classical frameworks like PyTorch/TensorFlow for end-to-end workflows.
- Evaluate trade-offs in hybrid models for applications in optimization, chemistry, ML, and materials science.
- Discuss scalability challenges, error correction, and future fault-tolerant integration.
- Quantum control engineering
- Full Stack orchestration using Qiskit and Cirq frameworks
Quantum-Classical Entanglement:
Leveraging Full-Stack Hybrid Models".
This course bridges quantum and classical computing, focusing on hybrid systems where quantum processors (leveraging superposition, entanglement, and interference) collaborate tightly with classical hardware and software.
It emphasizes practical "full-stack" integration—from hardware to high-level applications—drawing on platforms from companies like IonQ (trapped-ion, first publicly traded pure-play quantum firm), Rigetti (superconducting), and D-Wave (annealing with hybrid solvers), alongside broader ecosystems like IBM Qiskit, PennyLane, and HPC-QC frameworks.
The course targets intermediate learners (e.g., computer science, physics, or engineering backgrounds) interested in NISQ-era (Noisy Intermediate-Scale Quantum) realities and near-term hybrid workflows.
It highlights how classical systems handle orchestration, error mitigation, optimization loops, and data preprocessing, while quantum components accelerate intractable subproblems via entanglement-enabled parallelism.
See more
Recommendations
Recommendations are written by the tutor's friends, family, and acquaintances.
3
Worked with Sonny to tighten my understanding of storage and infrastructure as I prep for some of the newer large-scale data center environments coming online. He focuses on how systems actually behave under load—latency, bottlenecks, failure modes—not just surface-level concepts. That translated directly to how I evaluate and think through infrastructure decisions. Straightforward, technical, and useful. If you’re aiming at modern data center or AI-adjacent roles, he’s worth the time.
Sonny is among the best people i have ever met. A military trained genius with a heart of gold. Sonny is an ambitious go getter, with patience and compassion. I highly recommend my friend as a super tutor.
I met Sonny in 2026 on a chairlift at Beaver Creek Ski Resort in Colorado. When we realized that we attended the same church, we became fast friends.
Sonny is intelligent, high energy and always exudes a positive vibe. He is a loyal friend and adds value to the lives of those who know him.
See more recommendations
See more
Rates
Rate
- R164
Package rates
- 5h: R820
- 10h: R1640
online
- R164/h
free lesson
The free first lesson with Sonny allows you to get to know the tutor and discuss your needs and expectations.
- 1h
Similar Physics tutor profiles
Avuyile
Cape Town & online
- R80/h
Wandisa
Brakpan & online
- R240/h
- 1st lesson free
Nadia
Cape Town & online
- R350/h
- 1st lesson free
Tsebisho
Pretoria & online
- R215/h
- 1st lesson free
Dr Deniela
Pretoria & online
- R300/h
- 1st lesson free
Unity
Pretoria & online
- R130/h
- 1st lesson free
Convice
Pretoria & online
- R150/h
Lerina
Centurion & online
- R375/h
Omid
Stellenbosch & online
- R400/h
Lethabo
Pretoria & online
- R140/h
- 1st lesson free
Kudzi
Cape Town & online
- R300/h
Louis
Cape Town & online
- R1000/h
Shiraaz
Cape Town & online
- R250/h
Ariane
Randburg & online
- R350/h
- 1st lesson free
Nhlanhla
Benoni & online
- R150/h
- 1st lesson free
Ayo
Germiston & online
- R250/h
- 1st lesson free
Lerato
Centurion & online
- R300/h
Primerose
Pretoria & online
- R150/h
- 1st lesson free
Siddhant
Sandton & online
- R200/h
- 1st lesson free
Paul
Krugersdorp
- R150/h
- 1st lesson free
-
See Physics tutors
