1st lesson free
Sonny's email address and phone number have been validated.
Sonny
- Rate Ksh. 1,295
- Response 4h
-
Students4
Number of students Sonny has accompanied since arriving at Superprof
Number of students Sonny has accompanied since arriving at Superprof
Ksh. 1,295/hr
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 member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.
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
- Lower Primary
- Upper Primary
- Lower Secondary
- +8
levels :
Lower Primary
Upper Primary
Lower Secondary
Senior School
Tertiary
University
Adult Education
Masters
Doctorate
MBA
Pre-Primary
- English
All 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 come from relatives, friends and acquaintances of the teacher
2
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.
View more recommendations
See more
Rates
Rate
- Ksh. 1,295
Pack prices
- 5h: Ksh. 5
- 10h: Ksh. 10
free lessons
The first free lesson with Sonny will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- Ksh. 1,295/h
Similar Physics teachers in Austin
Sir James
Nairobi & Online
- Ksh. 2,000/h
- 1st lesson free
Karanja
Kahawa Sukari & Online
- Ksh. 2,500/h
- 1st lesson free
Edward
Suna & Online
- Ksh. 1,000/h
- 1st lesson free
SAMUEL
Homa Bay & Online
- Ksh. 900/h
- 1st lesson free
Maureen
Nairobi & Online
- Ksh. 2,000/h
- 1st lesson free
Nicholas Kimathi
Nairobi & Online
- Ksh. 1,500/h
- 1st lesson free
Cynthia
Rumuruti & Online
- Ksh. 1,000/h
- 1st lesson free
George
Eldoret & Online
- Ksh. 1,500/h
- 1st lesson free
Erickson
Nairobi & Online
- Ksh. 2,000/h
- 1st lesson free
Felix
Ngong & Online
- Ksh. 1,500/h
- 1st lesson free
Lynn
Ongata Rongai & Online
- Ksh. 2,000/h
- 1st lesson free
Hellen
Nairobi & Online
- Ksh. 500/h
- 1st lesson free
Denis
Nairobi & Online
- Ksh. 1,000/h
- 1st lesson free
Jennifer
Nairobi & Online
- Ksh. 1,800/h
- 1st lesson free
Michelle
Nairobi & Online
- Ksh. 2,000/h
- 1st lesson free
Hawo
Nairobi
- Ksh. 1,500/h
- 1st lesson free
Teacher Brian
Nairobi & Online
- Ksh. 500/h
- 1st lesson free
Odhiambo Maxwell
Nairobi & Online
- Ksh. 550/h
- 1st lesson free
Joseph
Thika & Online
- Ksh. 1,000/h
- 1st lesson free
John
Kitale & Online
- Ksh. 1,500/h
- 1st lesson free
-
See Physics tutors
