What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Not in this particular test. In a reported 26-qubit quantum-circuit benchmark on an NVIDIA H200, TensorCircuit-NG using Python with its JAX backend completed a warmed-up energy-and-gradient evaluation faster than the tested Yao.jl implementation. That result compares two specific software stacks on one workload; it does not show that Python is generally faster than Julia.
What the H200 benchmark measured
Shixin Zhang’s October 2026 benchmark article describes a variational quantum eigensolver (VQE) for the one-dimensional transverse-field Ising model. The test used 26 qubits, 16 circuit layers, 816 parameters, and double precision. Both implementations reportedly started from the same uniform superposition state; each layer applied RZZ gates between neighboring qubits, followed by RX gates on all qubits.
The reported energy-and-gradient timings were:
| Implementation | Initial evaluation-related time | Warmed-up energy plus gradient |
|---|---|---|
TensorCircuit-NG/JAX, scan |
11.7 seconds | 0.864 seconds |
TensorCircuit-NG/JAX, unrolled |
206.9 seconds | 0.396 seconds |
| Yao.jl/CUDA state vector | 29.0 seconds | 3.938 seconds |
These are timings reported by Zhang, not independently reproduced measurements. The article says its scripts, commands, and dependency versions are linked, but they were not independently audited here. Zhang reports that the resulting parameters agreed element by element and that the maximum difference between complete gradients was at machine precision. Read the benchmark article.
Why the timing depends on the task
Energy plus gradient is not the same as energy alone
The main table measures a warmed-up evaluation that computes both energy and its gradient. For an energy-only forward pass, Zhang reports median times of 0.095 seconds for TensorCircuit-NG and 0.192 seconds for Yao.jl, after warm-up and ten repeated calculations; the energy results were identical. These forward-only figures are a separate measurement and should not be substituted for the energy-and-gradient timings.
#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
Compilation changes the trade-off
The unrolled JAX version had the shortest reported warmed-up energy-and-gradient time, 0.396 seconds, but the longest initial evaluation-related time, 206.9 seconds. Zhang estimates that its longer initial cost is offset after roughly 400 evaluations. That break-even estimate follows the reported timing setup; it is not a universal threshold for JAX or for other circuits.
Backend and algorithm matter
This is not a direct test of Python interpreter speed against Julia compiler speed. TensorCircuit-NG exposes a Python interface while using JAX transformations, XLA compilation, and an optimized tensor-contraction order. The tested Yao.jl gradient route used a native GPU state-vector representation with reverse-mode automatic differentiation. The measured performance therefore reflects the full implementation, including its data representation, backend, compilation, and algorithm.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
What the comparison does—and does not—establish
For Zhang’s specified circuit and H200 setup, TensorCircuit-NG/JAX was faster than the tested Yao.jl state-vector implementation in both the reported energy-only and warmed-up energy-plus-gradient measurements. The result does not establish a general ranking of Python and Julia: another workload, algorithm, backend, or implementation could change the outcome.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsThe benchmark article also describes a tested YaoToEinsum/OMEinsum/cuTENSOR tensor-network route that could perform GPU contraction, but whose reverse-mode differentiation failed through in-place mutation in the conversion path. That is a limitation of the particular tested route and interface, not evidence that Julia cannot perform the task. A separate study of Julia for high-energy-physics analyses found Julia implementations competitive for computationally dominated tasks, further illustrating that results depend on the workload. See the Julia high-energy-physics study.
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
How to judge a Python-versus-Julia benchmark
When applying this result to your own work, check whether the comparison matches your task and runtime conditions:
- Workload: Compare the same circuit, input, parameter count, and precision—not merely programs described as quantum simulations.
- Completed work: Distinguish an energy-only forward pass from energy plus gradient, and check whether the result includes the same calculations in both implementations.
- Hardware and precision: A GPU and double-precision test says little about CPU performance, other accelerators, or single precision.
- Execution phase: Separate compilation or first-call cost from steady-state runtime, especially if your job runs only a few evaluations.
- Correctness: Check that outputs and gradients agree within an appropriate tolerance before treating a speed difference as meaningful.
- Implementation choices: Record the backend, data representation, differentiation method, and contraction strategy; these can dominate the language interface.
TensorCircuit-NG’s paper describes a framework built on JAX, TensorFlow, and PyTorch, with automatic differentiation and distributed simulation capabilities. Those are framework-level descriptions, not independent confirmation of the H200 measurements. Read the TensorCircuit-NG paper and see its official repository.
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
For performance work with TensorCircuit-NG, its FAQ advises benchmarking backend choices and accounting for the trade-off between contraction-path search and execution cost. The fastest choice for a specific workload is best established by measuring that workload. Consult the TensorCircuit-NG FAQ.
Windows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallOutdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchQuick Recap
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
